ٍٍStudy of Self-tuning Adaptive Proportional -Integral -Derivative controller

Abstract

This thesis describes a procedure for tuning PID controller .The key idea is to used a method base on self-tuning adaptive system to estimate PID parameters. The Ziegler-Nichols based self-tuning method design, the recursive Least-squares (RLS) method, and the projection algorithm for plant estimation are studied in this work. Simulation studies for the estimation and controller algorithm are mainly undertaken a after use MATLAB self-tuning controller Simulink library ( STCSL). Simulations results show that adaptive controller has a better performance compared with classic feed back controller especial in appear of noise and set point changing. Since PID controllers are largely used in the industries, the method testing in this work can be used in similar problems process control, robotic, among another industrial application.