Abstract: Aiming at the problems of high control performance and long design cycle of electromagnetic linear actuator control parameters，a multi-objective optimization design method of control parameters was proposed. Based on electromagnetic linear actuator system，a robust controller was designed. The controller parameters was selected as optimization variables，ITAE criterion system，sine signal tracking down the amount of phase shift，overshoot amount under the step signal were taken as the optimization goal，the control parameters were optimized by using multi-objective particle swarm optimization（MOPSO）algorithm，the Pareto front was solved. Finally，the control parameters of the optimal solution were selected by correlation coefficient matrix of the control parameters and control system performance. The results show that the ITAE criterion JITAE in the lectromagnetic linear actuator control system is decreased by 79.9% compared with that before the optimization，overshoot σ is decreased by about 95.2% under the step signal，and under sinusoidal tracking，the phase shift S is decreases by about 79.7%. Summing up the above，the effectiveness of optimization is verified，which can meet the control performance requirements of electromagnetic linear actuator. The method provides a certain theoretical reference basis for the optimal design of control parameters in servo system controller.

      Key words: electromagnetic linear actuator；robust control；multi-objective optimization；particle swarm optimization；control parameters