Self-tuning Regulator for Order-varying Systems Based on Particle Swarm Optimization

A novel design method of the self-tuning control algorithm is introduced for order-varying systems. In specific, the self-tuning regulator is optimized by the particle swarm optimization algorithm. The system error can be tracked by an implicit identification fashion in order to increase precision and decrease computation time. This method is suitable for typical industrial process control, especially for order-varying and large-time-delay systems. Simulations and comparisons show its advantages over traditional methods which are based on least-squares algorithms in terms of robustness and tracing precision.