Fuzzy PID Control Based on Control Rule Table Using MATLAB

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Resource Overview

This algorithm implements fuzzy PID control based on a control rule table using MATLAB development, featuring ready-to-run capability with comprehensive code implementation including fuzzy inference system setup and PID parameter adjustment logic.

Detailed Documentation

In this paper, we present a fuzzy PID control algorithm based on a control rule table, developed using MATLAB with out-of-the-box execution capability. The algorithm effectively combines fuzzy logic with PID control to achieve precise system control and optimization in control systems. Key implementation features include: 1) A rule-based fuzzy inference system for dynamic parameter adjustment, 2) MATLAB Simulink integration for real-time control simulation, and 3) Automated PID gain tuning through membership functions and defuzzification processes. This approach enhances system stability and performance while offering broad application prospects in industrial automation and process control. The MATLAB code incorporates fuzzy logic toolbox functions for rule evaluation and center-of-gravity calculations for output determination.

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