Study of SMO Parameter Optimization Based on PMSM Finite Element Simulation
- 1 October 2019
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Sliding mode control is commonly used in sensorless control of PMSM motors. But the SMO control has the problem of chattering mainly because the SMO parameter is hard to calculate and adjust. In order to solve this problem, this paper proposes a new method based on finite element simulation and genetic algorithm to optimize SMO parameters. Compared with mathematical model, the PMSM 2D electromagnetic field model is established by finite element with SVPWM excitation. In this way, the finite element simulation can obtain more accurate phase current and back EMF. And then genetic algorithm based on phase current is used to optimize SMO parameters. This new method can weaken the system chattering and improve the observation accuracy of the rotor position. Simulation and experiment verify the correctness and effectiveness of the optimization system.Keywords
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