Swarm immune algorithm for PID controller self-turning

Conventional PID self-tuning approaches cannot guarantee the resulting parameters to be always optimal. The Genetic algorithms (GA) and Simulated annealing (SA) method have been extensively used in optimizing the PID controllers. However, the GA approach can be trapped into the local optima, and the SA usually converges slowly. In this paper, we propose a novel hybrid optimization algorithm based on the synergy of the particle swarm and artificial immune principles. It is further applied to optimize the PID controllers for achieving the best control performance. Computer simulation results have demonstrated the effectiveness of our swarm immune optimization method.