Knowledge Based Adaptive Controller

Abstract

The designing of PID controllers is in many cases a problem often discussed. Many of the design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods. In this case, the amount of~fuzzy knowledge based methods is extended. A new way of designing PID controller parameters is created (in three variants), which is based on the relations of one of Ziegler-Nichols methods, a combination of Ziegler-Nichols methods and the Chien, Hrones and Reswick design method. The proof of efficiency of the proposed method and a numerical experiment is presented including a comparison with the conventional appropriate methods (simulated in the software environment Matlab-Simulink).