Fuzzy PID Control Program Source Code with Detailed Explanations

As requested, I have provided the complete source code for a fuzzy PID control program along with detailed technical explanations. This implementation utilizes fuzzy control algorithms to achieve precise system regulation. The core algorithm employs fuzzy logic to process input and output membership functions, and determines optimal control outputs through fuzzy inference mechanisms. Key implementation aspects include: fuzzification of error and error-rate inputs, rule-base evaluation using Mamdani-type inference, and defuzzification using centroid methods. The code contains extensive inline comments explaining variable definitions, fuzzy rule implementations, and PID parameter adjustment logic. Additional documentation clarifies the program's operational principles and architectural decisions to help readers understand both the theoretical foundations and practical implementation details. This resource is designed to support your assignment work with both executable code and pedagogical explanations.