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For the disadvantages of being easy to fall into premature of particle swarm optimization and the lengthy process of immune algorithm, putting the immunization information processing mechanisms of the immune system into PSO algorithm. A particle swarm algorithm based on immune selection (IPSO) was proposed, and its application to the parameter tuning and self-adaption in PID controllers, and designing the PID controller parameters. Simulating by MATLAB, experimental results showed that the algorithm can solve the problem of PSO algorithm premature convergence, and applying to self-tuning PID controller.

PID Parameters Tuning Based on a Self-Adaptive Immunity Ant Colony Algorithm