A Fuzzy Knowledge Based Controller To Tune Pid Parameters
Kenny Fotouhi, Ali M. Eydgahi · 2024
In this paper integration of fuzzy knowledge-based control with the hard control technique is purposed.The fuzzy knowledge-based is implemented as a set of fuzzy rules with an inference mechanism to tune the PID controller in the system.A software is developed in which users can define the rule base.The program generates the fuzzy decision table based on all inputted information and in a descriptive fashion.Then, the decision table is used to modify the parameters required by the fuzzy tuner in on-line operations.A simulation environment based on MATLAB® and SIMULINK® is used for demonstration purpose.Two control systems with the same structures are constructed.One system is using a fuzzy knowledge-based tuner and the other one is using a conventional PID control loop.Simulation results show improvement on system response of fuzzy knowledge-based control structure.