Fuzzy-PID-Based Control Algorithm Study

Reasonable parameters are the keys to ensure a system normal running and good operation, the simulation step response curve can verify the accuracy of the system parameters and the control quality of a system. As a combination of fuzzy control and PID control, Fuzzy PID control system involves many parameters, such as the fuzzy control related membership functions, quantization factor and scaling factor, PID control related proportional coefficient, integral coefficient and differential coefficient. This shows that the optimization and selection of above parameters can affects directly the stability and duration of response of PID control system. Therefore, to optimize and select these parameters is the key point of this topic.