The Optimization about PID Controller´s Parameter Based on QPSO Algorithm

PID controller for control system parameter optimization problem, we introduced Quantum-behaved particle swarm optimization (QPSO) algorithm, this method has the quantum behavior of particles, which can search the entire feasible region, the state only with particles position vector to describe, and they rely on only one parameter, the convergence speed and global convergence properties are superior to the traditional PSO. Simulation results verify the feasibility of quantum particle swarm optimization and effectiveness.