Computational Methods for Image Optical Flow with Fuzzy Logic Controller Implementation
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This code implements a fuzzy logic controller designed for maximum power point tracking (MPPT) in photovoltaic systems. The controller dynamically adjusts the operating point of solar panels based on real-time output characteristics to ensure optimal power generation. By employing fuzzy logic algorithms, the system utilizes input variables such as photovoltaic current and voltage variations to generate precise duty cycle adjustments for power converters. Key functions include membership function definitions for input fuzzification, rule-base implementation using if-then logic statements, and defuzzification processes to produce crisp output values. The controller demonstrates enhanced adaptability to fluctuating environmental conditions including irradiance changes and temperature variations, while maintaining robust performance through heuristic rule optimization and continuous parameter tuning.
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