An artificial immune optimization approach in tuning nonlinear PID controllers

This paper is dedicated to present one of newly developed evolutionary algorithm; we considered a new way to tune the PID controller of nonlinear systems where the parameters of the controller are optimized using the Artificial Immune Algorithm (AIA) based on the immune system which defends the body against harmful diseases and infections. This work describes the application of AIA Technique based on two fitness functions to optimally tune the three terms of the classical PID controller for nonlinear process. Matlab simulations of the proposed algorithm are carried out over a mass-spring damper system. The obtained results indicate that Artificial Immune Algorithm is a reasonable and effective method for parameter optimization of PID controllers.