In view of the traditional PID algorithm parameters to an optimal or near optimal identification is more difficult, Adaptive capacity is poor, put forward a kind of quantum particle swarm optimization (QPSO) algorithm for PID parameters, and Squared error moments of the integral function is used to the fitness criterion, in order to overcome the genetic algorithm (GA) to optimize the efficiency is not high, the local search ability is weaker. The use of servo motor mathematical model simulation, the results show that the quantum particle swarm optimization of PID parameters is fast algorithm and avoids premature defects, and show the effectiveness of the proposed algorithm and the superiority of the designed controller.