Robust intelligent tuning of PID controller for multivariable system using clonal selection and fuzzy logic

Abstract

This paper focuses on tuning of the PID controller using gain/phase margin, fuzzy logic, and immune algorithm for multivariable process. In industrial multivariable process, there is undesirable interaction between variables. Up to the present time, PID Controller has been widely used to control industrial process loops. However, it has also disadvantage without achieving an optimal PID gain with no experience. In this paper, the gains of PID controller based on coupling gain using fitness value of immune algorithm depending on error between optimal gain/phase margin is tuned by IM-FNN (immune based-Fuzzy Neural Network. © Springer-Verlag Berlin Heidelberg 2005.