SELF-TUNING FUZZY PID: REAL TIME CONTROL APPLICATIONS
Sevil Ahmed, A. M. Taneva, Michail G. Petrov, Иван Ганчев · 2013
This paper presents a neuro-fuzzy structure of a Fuzzy PID controller with self-tuning parameters. The main advantage here is that the equation of classical PID control low is used as a Sugeno function into the fuzzy rules. Hence the designed fuzzy PID controller can be viewed as a natural similarity to the conventional PID controller. Previously achieved a good simulation performance of the pre- sented Fuzzy PID controller is tested now in real time applications. Two implementations of the controller for real time temperature and level control processes are examined. Real time applications are carried out via the Real-Time Workshop of Matlab.