Abstract
The development of a more conventional PID control is a control strategy for a long time, because of its simple algorithm, robustness, reliability and is widely used in process control and movement control, especially for accurate mathematical model of deterministic systems, by proportional, integral, differential, the coordination of the three parameters ,can be optimized to complete the control process of the ideal system.
However,the actual application process often has nonlinear time-varying uncertainty, especially when there is a big inertia control object fei xian xing strong interference characteristics, by using the entire Ding good PID parameters in advance to get a long way to control the desired results difficultly, especially when the parameters of the object beyond the actual range, system performance will be significantly worse.
Different from the conventional PID controller, variable PID controller is the error signal e according to changes in the parameters of the PID controller tuning on line, and the basic theory of fuzzy mathematics and methods, to change parameters or operating conditions of the rules of fuzzy sets to represent, and to the fuzzy control rules and the relevant information (evaluation index, the initial PID parameter, etc.) as knowledge put into knowledge storehouse, by the computer control system according to the actual operation of situation ,using fuzzy reasoning, PID parameters can be automatically best line adjustment, that is, a fuzzy adaptive PID control.
As a result, through the fuzzy adaptive controling to achieve a good result, the use of the observation MCGS achieve good results.
