1999 Volume 11 Issue 5 Pages 841-847
It is difficult to design a fuzzy controller because there are many parameters should be adjusted. In this paper a new methodology is proposed for designing a fuzzy logic controller. Control surface is used to bridge the gap between the conventional PID controller and fuzzy controller. Based on a system model the conventional PID control parameters are tuning and its linear control surface is used as the knowledge basis for a fuzzy controller. This fuzzy controller is optimized by computer-aided design system according to the restriction condition of control response. The tuned control surface of the fuzzy control have non-linear properties which is corresponding to the controlled plant. The proposed method is applied to a non-linear control system design and simulation shows it is robust when the controlled system model has error and when it is in different initial conditions. Its effectiveness has been proved that it is a practical method for designing fuzzy controller.
