ON PID CONTROLLER DESIGN USING KNOWLEDGE BASED FUZZY SYSTEM

The designing of PID controllers is a frequently discussed problem. Many of the design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods. The aim of design methods is in designing of controllers to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system based on the relations of Ziegler-Nichols design methods is used, more precisely the combination of the both Ziegler-Nichols methods. The proof of efficiency of the proposed method and a numerical experiment is presented including a comparison with the conventional Ziegler-Nichols method.