In this paper, a multi-objective particle swarm optimization algorithm is designed to solve the problem of large electromagnetic wave force and low effective output force of linear active suspension actuator. The finite element model of the actuator is established, and the correctness of the finite element model is verified by comparing the theoretical calculation of the radial magnetic flux density with the simulation results. The notch width, the edge length and the pole distance of the actuator are Sensitivity analysis and multi-objective Particle swarm optimization, and the output force, back electromotive force and wave force of the actuator before and after optimization are compared. At last, the physical prototype is manufactured and the damping force and electromagnetic force characteristics are tested. The simulation results show that when the structure parameters of the electromagnetic actuator are optimized, the effective electromagnetic force, total harmonic distortion and electromagnetic wave force are improved. The test results show that the test value of damping force fluctuation is basically consistent with the simulation value, and the average electromagnetic force test value and the simulation value vary linearly with the voltage and the error is small.
寇发荣,张宏,李阳康,洪锋. 电磁直线式主动悬架作动器参数的多目标粒子群优化[J]. 振动与冲击, 2021, 40(22): 128-137.
KOU Farong,ZHANG Hong,LI Yangkang,HONG Feng. Multi-objective particle swarm optimization for the actuator parameters of an electromagnetic linear active suspension. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(22): 128-137.
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