Because simulation turntable servo system is highly nonlinear and uncertainty plants, a fuzzy neural network PID controller is proposed based on the Radial Basis Function (RBF). Up to now, various kinds of nonlinear PID controllers have been designed in order to satisfactorily control this system and some of them applied in actual systems with different degrees. Given this background, the step ...

Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single-loop controllers. The idea is to start with a tuned, conventional PID controller, replace it with an equiva...

This paper describes a method to design rulebased fuzzy adaptive controllers. The rules are learnt from the observed behaviour of a virtual self-tuning feedback (PID) controller. The designed controller is supposed to support typical control requirements (i.e. fast-following, zero steady state error, overshoot suppression, etc.) using only a small number of rules.

In power systems, the constant frequency, voltage, and output are desired determine quality of generated electrical energy. Therefore, frequency control is crucial in systems. The parameters conventional controllers used generation plants determined according to system's characteristics at stage installation, they cannot adapt changing system dynamics as lifespan increases. Thus, studies on aut...

A multivariable fuzzy logic controller with Lyapunov adaptive control scheme has been developed for a pH neutralisation process. In this study, the nominal neutralisation process condition exhibit nonlinear dynamics and multi-delayed-effects input variables. The proposed controller uses a Takagi-Sugeno fuzzy inference system and it has been optimised by genetic algorithm which minimizing the cl...

This paper describes the fuzzy model reference adaptive controller design for nonlinear system based on TSK model. The stability of closed-loop system can be assured by Lyapunov function and the adaptive law is developed. The parameters of the controller can be regulated by the adaptive rules and the control scheme is applied on the automatic gauge control system and spherical motor system as t...