Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM

doi:10.3390/en12101857

CIOMP OpenIR

	Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM
	M.Shao; Y.T.Deng; H.W.Li; J.Liu; Q.Fei
	2019
发表期刊	Energies
ISSN	1996-1073
卷号	12 期号:10 页码:22
摘要	This paper reports on the optimal speed control problem in permanent magnet synchronous motor (PMSM) systems. To improve the speed control performance of a PMSM system, a model predictive control (MPC) method is incorporated into the control design of the speed loop. The control performance of the conventional MPC for PMSM systems is destroyed because of system disturbances such as parameter mismatches and external disturbances. To implement the MPC method in practical applications and to improve its robustness, a compensated scheme with an extended sliding mode observer (ESMO) is proposed in this paper. Firstly, for observing if and when the system model is mismatched, the ESMO is regarded as an extended sliding mode parameter observer (ESMPO) to identify the main mechanical parameters. The accurately obtained mechanical parameters are then updated into the MPC model. In addition, to overcome the influence of external load disturbances on the system, the observer is regarded as an extended sliding mode disturbance observer (ESMDO) to observe the unknown disturbances and provide a feed-forward compensation item based on the estimated disturbances to the model predictive speed controller. The simulation and experimental results show that the proposed ESMO can accurately observe the mechanical parameters of the system. Moreover, the optimized MPC improves the dynamic response behavior and exhibits a satisfactory disturbance rejection performance.
关键词	model predictive control,parameter identification,extended sliding,mode observer,PMSM,magnet synchronous motor,position tracking control,speed control,system,Energy & Fuels
DOI	10.3390/en12101857
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/63083
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	M.Shao,Y.T.Deng,H.W.Li,et al. Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM[J]. Energies,2019,12(10):22.
APA	M.Shao,Y.T.Deng,H.W.Li,J.Liu,&Q.Fei.(2019).Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM.Energies,12(10),22.
MLA	M.Shao,et al."Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM".Energies 12.10(2019):22.

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