Auto-tuning of reference model based PID controller using immune algorithm

An auto-tuning scheme of a PID controller based on the reference model has been studied using the immune algorithm for a process. Many sophisticated tuning algorithms have been tried in order to improve PID controller performance in such difficult conditions. However, in an actual plant, they are manually tuned through a trial and error procedure, and the derivative action is switched off. Therefore, it is difficult to tune. Simulation results of immune based tuning reveal that the suggested tuning approach is an effective approach to search for optimal or near optimal process control