Optimization of DTC algorithm based on distributed parameter modelling of PMSM

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Shi, Bufan^1

School of Automotive Studies, Tongji University, 4800 Cao'an Road, Shanghai, China^1

关键词: Control performance;    Direct torque control;    Distributed parameter;    Distributed-parameter model;    Electric motor control;    Flux characteristics;    Fundamental wave;    Nonlinear characteristics;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/5/052096/pdf
DOI  :  10.1088/1757-899X/563/5/052096

来源: IOP

【 摘 要 】

Accurate mathematical model is the basis and precondition of electric motor control. The existing motor model under concentrated parameters is difficult to describe the harmonic and nonlinear characteristics of the motor, while the motor model under distributed parameters can accurately describe the torque and flux characteristics of the motor precisely at all working points, which provides the foundation for model-based motor control. The stator flux and torque observer have an essential influence on the performance of direct torque control (DTC) for PMSM. The concentrated parameter model of PMSM considering only the fundamental wave vector of the magnetic field for DTC will have obvious deficiencies in the performance such as torque ripple. This paper therefore uses the reconstructed magnetic co-energy (MCE) model to establish a torque and flux observer based on distributed parameters, which is introduced into the DTC algorithm of PMSM as an observer. The optimized DTC algorithm makes full use of the flux and torque harmonic description capabilities of the distributed parameter model, which improves control performance. The superiority of the distributed parameter observer is verified by simulation and bench test.