Intelligent Control Course Major Project: Fuzzy Controller Design with MATLAB Implementation

This project represents my major assignment for the Intelligent Control course. The task required designing a fuzzy controller that meets specific performance criteria, with complete MATLAB code implementation and corresponding simulation results. The project involved applying theoretical knowledge to develop an effective fuzzy controller capable of achieving predefined control objectives. Key implementation aspects included designing membership functions for input/output variables, establishing fuzzy rule bases using linguistic variables, and implementing defuzzification methods such as centroid or bisector approaches. The MATLAB implementation utilized Fuzzy Logic Toolbox functions including fuzzy(), addvar(), addmf(), and evalfis() for system construction and evaluation. Through this assignment, I gained deeper insights into fuzzy control principles and their practical engineering applications. The project not only tested our controller design capabilities but also enhanced programming skills and simulation analysis competencies using MATLAB's comprehensive control system toolbox. Overall, this challenging project provided valuable hands-on experience in translating theoretical concepts into functional control systems, serving as an excellent learning opportunity in intelligent control system development. The simulation diagrams generated demonstrate the controller's performance across various operational scenarios, validating the design approach and implementation methodology.