Immune network with genetic algorithm of adjustment for PID-management

In this paper we investigate an immune algorithm embedded PID control. Experiments with different processes indicate that the gains obtained through Immune Genetic Algorithm may provide better responses than those obtained by the classical Ziegler-Nichols method and Fuzzy-logic algorithm. The PID Controller based on IGA is realized by the Math lab. The experiment results show that the water level controlled by the PID controller can response fast and reach the stable state quickly in comparison with that controlled by the conventional PID controller and Fuzzy-logic PID controller.