Parameter Optimization of PID Controller Based on Quantum-behaved Particle Swarm Optimization Algorithm

The conventional parameter optimisation of PID controller is easy to produce surge and big overshoot, and therefore heuristics such as genetic algorithm (GA), particle swarm optimisation (PSO) are employed to enhance the capability of traditional techniques. But the major problem of these algorithms is that they may be trapped in the local optima of the objective and lead to poor performance. In this paper, a quantum-behaved particle swarm optimisation (QPSO) for the parameter optimisation of PID controller is proposed from sub-optimal perspective. This method is very advantageous for practical control systems. Three examples are given to illustrate the design procedure and exhibit the effectiveness of the proposed method via a comparison study with an existing Z-N, GA and PSO approaches