AI-Based Solar Tracking Systems for Enhanced Energy Capture

An intelligent solar racking system for optimizing power generation in modular solar systems. The system uses sensors throughout the racking frame to monitor parameters like voltage, temperature, irradiation, etc. for each module and the frame. A computing device analyzes the sensor data to determine module and system operations. It can detect module issues, optimize electrical configuration, and provide feedback to systems. The sensor-based monitoring allows proactive maintenance, isolation of faulty modules, voltage adjustments, and big data analysis.

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A machine-learning-based photovoltaic power generation control system that collects real-time voltage and power data from photovoltaic modules, learns the data through a machine learning platform, and controls the modules based on extracted control information to optimize power generation. The system analyzes connected devices in real-time and performs modeling for various service functions, enabling real-time control of the photovoltaic power generation system.

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Solar energy tracking method that improves accuracy through deep learning. The method employs machine learning algorithms to enhance the traditional solar tracking system's ability to maintain optimal orientation and position. The system uses data acquisition equipment to continuously monitor the solar panel's position and orientation, while the control device processes this data to automatically adjust the tracking parameters. This approach enables more precise control of the solar panels, particularly under challenging environmental conditions like weather variations and shading.

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Predictive tracking system for photovoltaic power systems that optimizes panel alignment based on real-time weather conditions. The system employs a neural network to analyze sky images and solar position data to predict the optimal tracking angle for maximum energy production. The system continuously monitors cloud cover and adjusts the tracking position to avoid excessive movement during periods of high cloud cover, while maintaining optimal performance during periods of clear sky. This approach enables maximum energy production through predictive tracking, rather than relying solely on traditional solar position calculations.

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A solar tracking system that optimizes energy capture through a machine learning-based performance model that dynamically adjusts panel orientation in response to changing weather conditions. The system incorporates a global performance model that incorporates weather forecasts, topography data, and historical performance metrics, and continuously updates its parameters through machine learning algorithms. The model optimizes panel orientation for both optimal tracking performance and reduced shading, with the ability to switch between tracking and backtracking modes. This approach enables the system to adapt to varying solar radiation patterns and topographical conditions, maximizing energy output while minimizing energy losses.

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Solar power generation system that optimizes solar tracking using artificial neural networks. The system comprises a plurality of photovoltaic panels arranged in a plurality of columns and rows; Group tracking control units that are physically connected to the solar panels to provide power for the rotational motion of each of the solar panels; and a central control server for controlling the rotational movement by transmitting a control command to each of the group tracking controllers.

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A solar tracking system that optimizes energy output by independently adjusting each row of solar panels based on a performance model that accounts for local weather conditions, topography, and photovoltaic technology spectral response. The system generates performance models for each row using weather data and spectral response characteristics, and updates these models through machine learning algorithms to continuously improve tracking efficiency.

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A solar power generation system that optimizes panel positioning through machine learning-based tracking. The system employs AI algorithms to predict the sun's trajectory and position, and integrates with a microcontroller to control the solar panels' orientation. The system achieves accurate alignment through real-time sun position prediction, leveraging GPS data and sensor measurements. This enables continuous optimization of panel positioning despite the dynamic sun movement, resulting in improved energy output.

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A solar tracking system that optimizes energy generation by dynamically adjusting solar panel orientation based on environmental conditions. The system includes sensors to monitor irradiance and electrical current, and a controller that analyzes data to detect persistent cloudy conditions and shade patterns. When conditions are favorable, the system tracks the sun's position to maximize energy generation. When conditions are unfavorable, the system adjusts panel orientation to optimize energy capture from diffuse light. The system also learns and adapts to local conditions through machine learning algorithms, enabling continuous optimization of energy generation.

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A method for optimizing solar energy production in non-ideal weather conditions using machine learning algorithms to analyze sky image data and predict diffuse irradiance levels. The method involves dividing the sky into sectors, determining diffuse irradiance levels for each sector using machine learning regression models, and adjusting solar photovoltaic modules based on the predicted diffuse irradiance levels. The method can be implemented using a network of sky cameras and pyranometers to capture image data and measure irradiance levels.

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A self-powered solar tracking system that optimizes energy production by dynamically adjusting the angle of solar modules based on real-time current monitoring and machine learning predictions of shading patterns. The system uses a tracker controller that receives current data from multiple PV strings, measures the tilt angle, and applies machine learning algorithms to determine shading patterns and optimize module positioning. The controller can also prioritize maximum power output over shading avoidance.

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Intelligent sun tracking for precise solar monitoring. The method utilizes a combination of advanced sensors and machine learning algorithms to achieve accurate solar position determination. The system integrates multiple sensors, including photodiodes, GPS, and magnetometers, to provide comprehensive data. The sensors continuously monitor the sun's position and orientation, while the machine learning algorithm analyzes this data to calculate the solar's precise location. This enables highly accurate solar tracking, particularly in applications where precise positioning is critical, such as solar energy systems.

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Smart solar tracking system for photovoltaic power generation that enables rapid and precise alignment of solar cells. The system employs a novel tracking mechanism that uses a specially designed solar tracking device with a unique optical configuration. When sunlight hits the device, it focuses onto a precisely positioned photodiode along its edge, allowing for instantaneous detection of solar cell alignment. The system achieves this through a patented quadrangular pyramid design with four sensing panels that converge at the focal point, enabling precise tracking of solar cell alignment. The device automatically adjusts its position based on the detected alignment, eliminating the need for manual tracking. This approach enables rapid response to changing solar conditions, improving overall system efficiency and reliability.

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A solar tracking system that enables efficient energy generation by dynamically adjusting the orientation of solar panels to track the sun's movement throughout the day. The system employs an asymmetrical mounting design that allows the panels to be positioned at different angles relative to the vertical axis, eliminating the need for traditional fixed mounting structures. This enables the panels to capture more solar radiation by tracking the sun's position, resulting in higher energy production compared to traditional fixed mounting systems. The system can be configured for either photovoltaic (PV) panels or heat collection applications, and its adjustable mounting design enables precise control over the solar panel's orientation.

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A smart solar system that enables efficient electricity generation by tracking three-dimensional solar panels through its mobile mechanism. The system features a modular design with 8-12 blade configurations, a 2-part vertical swing mechanism, and a polyamide castermid for blade movement. The mechanism enables continuous blade opening and closing while maintaining optimal light transmission and panel efficiency. The system includes automated blade cleaning and protection features, as well as remote monitoring capabilities through Ethernet/Internet connectivity.

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Solar tracking system for photovoltaic panels that maintains optimal energy collection angles without external power sources. The system employs a novel tracking mechanism that periodically rotates solar panels to maintain their normal orientation relative to the sun's rays. The rotation is achieved through a mass-based positioning system that precisely controls the tilt angle between the tracking arm and the solar panel's normal plane. This approach ensures that the solar panels capture 99% of available solar energy regardless of the sun's position, even in locations with irregularly varying daylight patterns. The system is designed to operate independently of the internet and is particularly suitable for critical infrastructure and renewable energy applications.

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A solar tracking system that achieves maximum energy production through intelligent sun tracking without traditional radiation sensors. The system employs a fuzzy logic control method that calculates the optimal solar path using latitude, longitude, and time parameters, while simultaneously determining the optimal tilt angle. This approach enables precise tracking of the sun's position and orientation, allowing the system to maintain optimal alignment regardless of weather conditions.

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A solar tracking and monitoring system that maximizes energy collection while minimizing system costs. The system employs a novel tracking configuration that enables optimal alignment of solar panels with the sun's movement, thereby increasing energy capture. The system's monitoring capabilities provide real-time data on panel performance, enabling proactive maintenance and optimization. The configuration achieves higher energy collection efficiency through advanced tracking algorithms and optimized panel positioning, while eliminating unnecessary tracking components that were previously required to achieve similar performance.

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A smart solar tracking system that optimizes solar panel performance through AI-driven automation. The system employs a dual-axis tracking mechanism that continuously adjusts the solar panel's position to maximize energy production. The system's AI algorithm continuously monitors solar radiation levels and adjusts the panel's orientation to optimize energy generation. This intelligent approach enables the system to adapt to changing solar conditions, ensuring maximum energy output even during periods of low sunlight.

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Estimating solar radiation for photovoltaic energy production using a wide-angle camera and a convolutional neural network (CNN) that processes images to predict energy output. The method involves capturing images with a fisheye camera, segmenting the sky into cloud types, and training a CNN to estimate solar radiation parameters. The CNN can be used to predict energy output at the time of image capture or forecast future energy production based on a sequence of images.

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Solar power generation system for photovoltaic modules that enables continuous tracking while maintaining optimal energy production. The system employs a dual-axis gyroscope and accelerometer to maintain precise orientation and position, while a motorized tracking mechanism moves the module to follow a predetermined path. The control system uses local or cloud-based data to calculate optimal tracking parameters, ensuring consistent energy production while minimizing energy losses.

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Solar tracking system with adaptive correction using sensor feedback. The system employs a tracking control system with electronic and optical sensors to monitor the sun's position and detect tracking errors. When errors exceed predetermined tolerance limits, the system automatically adjusts the tracking mechanism to maintain optimal alignment. The system also includes a photodetector array to detect temperature-related issues and prevent overheating. The system's control system continuously updates the tracking position based on real-time sensor feedback, enabling precise solar tracking even in challenging environmental conditions.

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A method for optimizing photovoltaic power generation by dynamically adjusting the tracking angle of solar panels based on the solar altitude. The system employs a dual-axis rotation mechanism with a primary rotation axis aligned with the sun's azimuth and a secondary rotation axis perpendicular to it. The primary rotation axis is adjusted in increments of 10 degrees to maintain optimal tracking while the secondary axis follows the solar altitude. This dual-axis approach ensures maximum power generation efficiency throughout the solar cycle.

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Solar tracking system that optimizes power generation by dynamically adjusting the tracking direction based on solar position. The system maintains a predetermined tracking tolerance range around the initial position of the sun, but adjusts its tracking direction when the sun's position enters a boundary region of this range. This approach ensures accurate tracking while minimizing power consumption by preventing excessive movement. The system incorporates a position storage unit for tracking solar position history, enabling advanced tracking algorithms that adapt to changing solar conditions.

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A solar tracking system for photovoltaic panels that enables dynamic positioning of the panel array while maintaining structural integrity. The system comprises a rotating frame with a fixed base and a stationary base, connected by a central pivot. The rotating frame is driven by a motor that rotates around a fixed axis, while the stationary base maintains the panel array's position. The system incorporates a tracking mechanism that automatically adjusts the panel array's orientation in response to changes in solar position. The system features a spring-loaded mounting system that prevents panel rotation during rotation, ensuring structural stability.

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A sun tracking system for solar panels that eliminates the need for optical sensors. The system measures the current and voltage output from four independent solar panels, calculates their combined power output, and compares it to a threshold value. When the threshold is exceeded, the system compares the power outputs of the two highest currents and adjusts the panel positions to optimize energy production. This approach enables accurate tracking without the need for optical sensors or complex position estimation algorithms. The system can be integrated into existing solar panel installations to enhance energy production while reducing installation costs.

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Solar panel tracking system for IoT applications that eliminates traditional fixed-position tracking while maintaining high efficiency. The system integrates solar panel tracking with IoT connectivity, enabling real-time monitoring and precise control of the photovoltaic array. The tracking system employs a combination of wireless communication and sensor technology to accurately determine the solar panel's position and orientation in real-time, eliminating the need for expensive and complex tracking systems. The system integrates a control motherboard, wireless communication module, and sensor components to enable automated system control and monitoring.

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A tracking system for solar panels that optimizes energy production through continuous monitoring and precise positioning. The system employs a rotary support with one or two axes controlled by two motors, integrated with temperature sensors and GPS capabilities. The system's control logic implements a sophisticated algorithm that dynamically adjusts the panel's orientation and positioning to maintain optimal energy production throughout the day, while monitoring environmental conditions and detecting potential faults.

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Solar tracking system for maximizing photovoltaic station efficiency. The system employs an astronomical algorithm to dynamically adjust its tracking angle based on solar declination and duration of daylight hours. The system automatically switches between manual and automatic modes, with automatic mode controlling the tracking system's movement. This enables optimal alignment during periods of prolonged solar activity.

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A solar tracking system that enables precise and efficient solar energy harvesting by employing a closed-loop multi-mode tracking architecture. The system combines multiple tracking modes, including continuous tracking, slow tracking, and rapid tracking, to achieve optimal alignment with the sun's movement while maintaining high tracking accuracy. This multi-mode approach enables the system to adapt to changing solar conditions, optimize energy production, and maintain stable performance across diverse environmental conditions.

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A photovoltaic tracking system that optimizes solar energy collection by dynamically adjusting its orientation and angle of incidence. The system incorporates a self-powered mechanism, precision positioning system, and real-time monitoring capabilities to track solar radiation patterns throughout the day. The system's advanced positioning mechanism ensures optimal alignment with the sun's rays, while its precision angle control mechanism enables precise adjustments to maintain optimal energy production. The system incorporates safety features, including automatic wind compensation and emergency return to a standard position, to protect the system from environmental impacts.

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A solar panel real-time automatic tracking lighting system that optimizes energy utilization through precise solar angle control. The system employs advanced optical sensors with built-in tracking capabilities, eliminating the need for separate tracking devices. It integrates multiple sensors to accurately measure solar intensity and direction, enabling real-time adjustments to optimize energy production. The system's advanced optical technology eliminates the need for separate optical sensors, reducing cost and complexity compared to traditional tracking systems. The system also features automatic energy recovery and feedback mechanisms to minimize energy losses during periods of low sunlight.

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Solar battery tracking control system for solar panels, which enables automatic tracking through a closed-loop feedback mechanism. The system comprises a solar panel with a transient diode, a composite triode, and a power drive, connected to a microprocessor. The power drive is further connected to an output protection circuit and a load. The system incorporates temperature and current sensors to monitor the solar panel's operating conditions. The microprocessor continuously monitors the system's performance and adjusts the tracking parameters to maintain optimal performance, eliminating the need for manual reference position setting.

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Solar battery automatic tracking system for solar cells that enables precise control of photovoltaic array orientation through a unique combination of program-controlled and sensor-based tracking methods. The system integrates a steering gear with a precision servo drive system, eliminating the need for external power sources and high-speed motor drives. By combining local latitude, longitude, and time calculations with light sensor measurements, the system achieves accurate tracking while minimizing the complexity of the control system. This approach enables high-efficiency solar panel operation by dynamically adjusting the photovoltaic array orientation in response to changing solar conditions.

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A solar tracking device for high-efficiency photovoltaic modules that optimizes absorption and conversion of solar radiation. The device enables precise control over the module's orientation and positioning to maximize energy capture while maintaining high efficiency. By dynamically adjusting the module's angle and position, the device enables efficient energy absorption and conversion across a wide range of solar irradiance conditions, thereby increasing overall system performance.

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Solar energy tracking system employing a single-chip fuzzy control algorithm for optimal positioning. The system employs a combination of two fuzzy control strategies to achieve precise tracking of solar panels. The algorithm integrates a traditional sun position estimation method with a fuzzy logic approach to determine optimal panel alignment. This dual-strategy approach enables the system to dynamically adapt to changing solar conditions while maintaining precise tracking accuracy.

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Solar tracking system that optimizes power generation by dynamically adjusting panel rotation based on sun position. The system uses numerical calculations instead of traditional sensor-based tracking, enabling continuous monitoring of panel performance across the day. It analyzes sun angle data from statistical analysis of historical data, calculates optimal rotation angles for each panel group, and automatically adjusts rotation based on sun position. The system features real-time monitoring through mobile communication, with automated reporting capabilities for maintenance.

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Intelligent solar tracking system with enhanced precision and automation. The system employs a microprocessor control unit, photodetector unit, liquid crystal display module, storage unit, keyboard, and peripheral circuit to enable automatic solar tracking. The system's photodetector continuously monitors the sun's position, while the microprocessor calculates and updates the tracking position. The display module provides real-time feedback, and the system can be manually controlled through a keyboard interface. This integrated architecture combines precise tracking with automated operation, eliminating mechanical error accumulation and manual intervention.

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A solar tracking system for photovoltaic power generation that optimizes tracking efficiency through adaptive sun alignment correction. The system employs a novel attitude error estimation method that dynamically adjusts the tracking parameters based on measured sun position deviations and reliability metrics. By dynamically adjusting the dither operation range and correction factors, the system minimizes system downtime while maintaining optimal tracking accuracy. The method enables reliable tracking even in high-wind conditions, where traditional methods may compromise accuracy due to wind-induced system instability.

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A method for automatic solar tracking on a moving platform to achieve precise positioning and continuous monitoring of solar spectral motion. The method employs a hybrid approach combining optical telemetry with photovoltaic power generation technology. The system employs a photovoltaic panel to generate power while simultaneously monitoring the solar spectral motion using optical sensors. The photovoltaic panel's power output is used to power the optical sensors, enabling continuous real-time monitoring of the solar position even in scenarios where direct sunlight is not available. This approach enables accurate positioning and automatic tracking of the solar position, particularly in applications where cloud cover or other environmental factors prevent direct sunlight.

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Solar tracking system for floating solar power generation that optimizes power production by dynamically adjusting panel orientation and position to maximize sunlight exposure. The system employs photoconductive cells to monitor current flow and position changes in real-time, enabling automatic sun-tracking through the panel's movement. A central control unit adjusts the panel's position and orientation in response to detected changes in solar intensity, ensuring optimal power generation.

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A dual-axis tracking control method for solar panels that optimizes energy harvesting by automatically adjusting panel orientation to maximize solar radiation. The method employs real-time solar azimuth and elevation angle measurements to calculate precise correction angles for the solar panels. By continuously monitoring the solar position, the system automatically adjusts the panel orientation in real-time to maintain optimal alignment with the sun's rays, thereby maximizing solar energy conversion.

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A solar concentrator system with photovoltaic modules that enables precise real-time targeting of the sun through advanced azimuthal and zenith rotation mechanisms. The system employs a platform with two perpendicular rotation axes, each equipped with position sensors and motors, to achieve precise control of the concentrator modules. The platform's azimuthal rotation axis enables precise positioning of the concentrator modules around the sun's disk, while the zenith rotation axis ensures accurate tracking of the sun's position. The system incorporates advanced sensor technologies, including optical sensors, to optimize solar radiation capture and minimize energy consumption during cloudy conditions.

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Method and apparatus for solar photovoltaic power generation equipment tracking using image processing and visual trajectory analysis. The system comprises an image acquisition device, a processor, and a solar cell module track assembly. The image acquisition device captures images of the solar cell module's position within the solar array. The processor analyzes these images to determine the solar cell module's trajectory, calculating its current time and location relative to the sun's position. The processor then controls the tracking motor to maintain the solar cell module's position within the array, ensuring continuous capture of the solar array's range.

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A sun ray tracing algorithm for solar power tracking systems that enables precise tracking of solar rays using a combination of light sensors and cameras. The algorithm employs Kalman filtering to estimate solar azimuth, followed by state estimation of the tracking system's position and orientation. The filtered data is then fused using image processing techniques to achieve accurate sun ray tracking. This approach enables stable operation and high precision tracking of solar rays, particularly in applications where traditional tracking methods are limited by environmental factors.

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Solar tracking system using power differences between solar cells to achieve accurate sun tracking. The system employs a fixed structure with a vertical motor frame, where the solar cells are mounted at a constant angle relative to each other. When facing the sun, the solar cells generate equal power, resulting in zero motor rotation. Conversely, when not facing the sun, the power difference between the solar cells causes the motor to rotate. This configuration enables precise tracking of the sun while maintaining power balance between the solar cells, eliminating the need for separate control systems.

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A solar tracking system that utilizes Bluetooth communication for automatic control, particularly in a fully automatic solar tracking system. The system comprises light sensors, signal conditioning circuits, touch screen, single-chip, Bluetooth module, a drive circuit, servo motors, and solar panels. The system enables precise and automated solar tracking through wireless communication with the solar panels, allowing for continuous adjustment of the tracking angle and orientation in response to changing solar conditions.

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An intelligent solar tracking system that improves the accuracy of solar panel positioning through advanced photovoltaic monitoring. The system integrates GPS, photovoltaic sensors, and a control module to track the sun's position and intensity. The GPS module provides precise location data, while the photovoltaic sensors measure light intensity. The control module calculates the sun's elevation angle and azimuth, then dynamically adjusts the solar panel's tracking position to optimize energy production. This intelligent approach enhances the traditional passive tracking method by incorporating real-time photovoltaic performance data.

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Solar tracking control device that automatically adjusts solar panel orientation to maximize energy production based on real-time location, altitude, and current conditions. The device uses GPS, current measurements, and solar data to calculate optimal tracking angles, enabling precise control of the solar panels' position to optimize energy generation.

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Method for optimizing dish solar power system performance through advanced tracking control. The method combines a predictive control algorithm with motor protection to rapidly adjust dish rack angles to maximize solar absorption. The control system integrates data from various sensors and monitoring systems, enabling real-time adjustments based on changing solar conditions. This approach enables more accurate positioning and improved energy conversion compared to conventional methods.

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