Fuzzy Control System Design with Simulink Implementation

This assignment presents the design of a fuzzy control system, encompassing both fuzzy controller development and Simulink-based simulation. For the fuzzy controller design, I have thoroughly documented key components including the universe of discourse, linguistic variables, and rule base configurations. The implementation involves MATLAB coding for membership function definitions using functions like trimf() or gaussmf(), and rule evaluation through fuzzy inference systems. Additionally, the report explores the advantages and application domains of fuzzy control systems, along with optimization techniques such as rule base refinement and membership function tuning. The Simulink simulation incorporates Fuzzy Logic Controller blocks with properly configured FIS structures, enabling real-time system validation. Experimental tests were conducted to verify system performance and reliability, utilizing performance metrics like settling time and overshoot analysis. Based on the results, improvement suggestions are provided to enhance system efficiency and precision, including potential code modifications for adaptive rule adjustment and dynamic universe scaling algorithms.