Abstract
At present, industrial engineering, which is widely used in PID control of the Nonlinear, time-delay, Strong coupling characteristics of the object to control the result is not satisfactory. Although Optimization PID control, adaptive PID control and nonlinear PID control and other improved forms of PID control, but in a fundamental sense, Because of the PID parameter optimization of the ratio of integrals, Differential role of the three control of compromise and interference suppress ionsetting and tracking target values the entire compromise, hence itstuning parameters is not optimal. Fuzzy controller is a recently developed a new type controller, its advantage is not required to grasp the object controlled precision mathematical model, and the rules under manual control Ancestors control decision table, which it decided to table the size of the volume control. This paper mainly the theoretical foundation of fuzzy control, the principle of fuzzy PID control, the design methods of fuzzy PID controller and MATLAB simulation of adaptive fuzzy PID controller.
As the operator experience is not accurate description and signal volume evaluation of the control process and evaluation index is difficult to quantify, using Fuzzy theory to solve this problem is an effective way. So people use the basic theory and method of fuzzy math, replace the rule conditions, operation using fuzzy sets, and stored these fuzzy control rules and the relevant information(eg, Evaluation index, Initial PID parmeter) as a knowledge base in computer knowledge repository. Then the computer can best adjust PID parameters automatically using fuzzy reasoning based on the actual response of the control system (expert system for the importation). This is adaptive fuzzy PID control.
Keywords : fuzzy control; Fuzzy controller; Fuzzy PID controller; Adaptive Fuzzy PID controller; MATLAB Simulation.