Robust tuning for disturbance rejection of PID controller using evolutionary algorithm

A 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 robust tuning of the PID controller using immune algorithm which has function such as diversity, distributed computation, adaptation, self-monitoring function. After deciding disturbance rejection condition for the given process, the gains of PID controller using fitness value of immune algorithm depending on disturbance rejection is tuned for the required response. To improve this suggested scheme, simulation results are compared with FNN based responses and genetic algorithm.