DSP implementation of a neural network vector controller for IPM motor drives

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	DSP implementation of a neural network vector controller for IPM motor drives
	Ramezani, Malek 3; Bian J(卞晶)1 ; Sun, Yang 3; Balasubramanian, Bharat 2; Gao, Yixiang 3; Li SH(李署辉)3
刊名	Energies
	2019
卷号	12 期号:13 页码:1-17
关键词	permanent-magnet synchronous motor (PMSM) vector control approximate dynamic programming (ADP) artificial neural network (ANN) digital signal processor (DSP) implementation real-time control linear and over-modulation
ISSN号	1996-1073
产权排序	3
英文摘要	This paper develops a neural network (NN) vector controller for an interior mounted permanent magnet (IPM) motor by using a Texas Instrument TMS320F28335 digital signal processor (DSP). The NN controller is developed based on the complete state-space equation of an IPM motor and it is trained to achieve optimal control according to approximate dynamic programming (ADP). A DSP-based NN control system is built for an IPM motor drives system, and a high efficient DSP program is developed to implement the NN control algorithm while considering the limited memory and computing capability of the TMS320F28335 DSP. The DSP-based NN controller is able to manage IPM motor control in linear, over, and six-step modulation regions to improve the efficiency of IPM drives and to allow for the full utilization of DC bus voltage with space-vector pulse-width modulation (SVPWM). The experiment results show that the proposed NN controller is able to operate with a sampling period of 0.1ms, even with limited DSP resources of up to 150 MHz cycle time, which is applicable in practical motor industrial implementations. The NN controller has demonstrated a better current and speed tracking performance than the conventional standard vector controller for IPM operation in both the linear and over-modulation regions.
资助项目	Center of Advanced Vehicle Technology, The University of Alabama
WOS关键词	ADAPTIVE CRITICS ; PMSM ; PWM ; OVERMODULATION ; TORQUE
WOS研究方向	Energy & Fuels
语种	英语
WOS记录号	WOS:000477034700098
资助机构	Center of Advanced Vehicle Technology, The University of Alabama
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/25315]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Li SH(李署辉)
作者单位	1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Center for Advanced Vehicle Technologies, University of Alabama, Tuscaloosa, AL 35401, United States 3.Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35401, United States
推荐引用方式 GB/T 7714	Ramezani, Malek,Bian J,Sun, Yang,et al. DSP implementation of a neural network vector controller for IPM motor drives[J]. Energies,2019,12(13):1-17.
APA	Ramezani, Malek,Bian J,Sun, Yang,Balasubramanian, Bharat,Gao, Yixiang,&Li SH.(2019).DSP implementation of a neural network vector controller for IPM motor drives.Energies,12(13),1-17.
MLA	Ramezani, Malek,et al."DSP implementation of a neural network vector controller for IPM motor drives".Energies 12.13(2019):1-17.