ROBUST PID CONTROL USING GAIN/PHASE MARGIN AND ADVANCED IMMUNE ALGORITHM

Abstract: Up to the present time, PID Controller has been widely used to control industrial process loops because of its implementational advantages. However, it is very difficult to achieve an optimal PID gain with no experience, since the parameters of the PID controller has to be manually tuned by trial and error. This paper focuses on tuning of the PID controller using gain/phase margin and immune algorithm. After deciding optimal gain/phase margin specifications for the given process, the gains of PID controller using fitness value of immune algorithm depending on error between optimal gain/phase margin and the gain/phase margin obtained by tuning is tuned for the required response. To improve effectiveness of the suggested scheme, simulation results are compared with the FNN (Fuzzy Neural Network) based responses and illustrate more desirable performance