永磁同步电机长线变频驱动系统定频滑模预测电流控制

doi:10.19595/j.cnki.1000-6753.tces.220505

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (5054 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract To realize efficient and reliable production and transportation for underground coal mine mining applications, the inverters are generally placed above the mine, and the permanent magnet synchronous motors (PMSMs) are deployed underground and connected by long cables. Long cables will aggravate the over-voltage and the insulation aging of PMSMs. Thus, an output LC filter is necessary. Nevertheless, introducing LC filters increases the system order, leading to complicated control structures, time-consuming parameter-tuning efforts, and unsatisfactory steady-state performance. Therefore, this paper proposes a fixed-switching frequency sliding mode predictive current control (FSF-SPCC) scheme for PMSM long-cable variable frequency drive systems to improve the steady-state performance and robustness of the system.
First, a linear sliding-mode switching function for stator-current tracking is designed, and a sliding-mode prediction model is built. Then, based on the ‘equivalent control’, a cost function based on sliding-mode surface tracking is designed. Since the sliding-mode surface inherently realizes the multi-variable control, the resonance is effectively suppressed, and the system robustness is significantly enhanced. Also, the delay compensation of the controller is considered to eliminate the performance degradation caused by the one-step computational delay of the actual digital controller. In addition, a three-vector FSF-SPCC controller is further proposed to improve the system’s steady-state performance and facilitate the LC-filter design. By simulating the principle of space vector modulation, two active vectors and one zero vector are employed simultaneously to synthesize the dead-beat solution based sliding mode voltage reference. Therein, the optimal voltage-vector combinations and corresponding duty cycles are determined by minimizing the weighted tracking errors of the reference voltage vector, which improves steady-state performance with a fixed switching frequency.
Experiments are carried out based on an actual low-power PMSM long-cable drive system. Experimental results show that compared with the conventional PCC method, the proposed FSF-SPCC scheme can achieve lower stator-current ripples and total harmonic distortion (nearly five-fold decrease) at the rotor speed of 1 000 r/min in the steady state. Since the proposed FSF-SPCC inherently controls two state variables, the resonance is suppressed, and the steady-state performance is enhanced. Moreover, the harmonic spectrum of the proposed method is concentrated at the switching frequency and its integer multiples, resulting in a constant switching frequency. Besides, speed regulation (from 500 r/min to 1 000 r/min) shows that the proposed method can obtain a similar dynamic response as the conventional PCC method. Changing ±50 % stator-inductance parameters shows that the proposed FSF-SPCC scheme is more robust to model mismatches than the conventional PCC method.
The following conclusions can be drawn from the experimental analysis: (1) The proposed method designs a cost function based on sliding-mode surface tracking, which effectively simplifies the control structure, suppresses the resonance, and enhances the robustness. (2) A three-vector FSF-SPCC controller is further proposed, which employs three voltage vectors to synthesize the sliding-mode voltage reference. Hence, a fixed switching frequency is achieved, and the proposed method has a more compact output-filter design and better steady-state performance than the conventional PCC method.

Key words： Permanent-magnet synchronous motor long-cable drives sliding mode predictive control fixed switching frequency

Received: 06 April 2022

PACS:

TM351

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zheng Changming
	Yang Jiafeng
	Gao Ang
	Gong Zheng
	Wu Xiaojie

Cite this article:

Zheng Changming,Yang Jiafeng,Gao Ang等. Fixed Switching Frequency Sliding-Mode Predictive Current Control of a PMSM Variable-Frequency Drive System with Long Cables[J]. Transactions of China Electrotechnical Society, 2023, 38(4): 915-924.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.220505 OR https://dgjsxb.ces-transaction.com/EN/Y2023/V38/I4/915

[1] 杨小林, 葛世荣, 祖洪斌, 等. 带式输送机永磁智能驱动系统及其控制策略[J]. 煤炭学报, 2020, 45(6): 2116-2126.
Yang Xiaolin, Ge Shirong, Zu Hongbin, et al.Per-manent magnet intelligent drive system and control strategy of belt conveyor[J]. Journal of China Coal Society, 2020, 45(6): 2116-2126.
[2] Mishra P, Maheshwari R.Design, analysis, and impacts of sinusoidal LC filter on pulsewidth modu-lated inverter fed-induction motor drive[J]. IEEE Transactions on Industrial Electronics, 2020, 67(4): 2678-2688.
[3] 赵仁德, 赵斌, 徐海亮, 等. 带LC滤波器的永磁同步电机控制系统及策略研究[J]. 电工技术学报, 2019, 34(增刊1): 79-86.
Zhao Rende, Zhao Bin, Xu Hailiang, et al.Research on control method of permanent magnet synchronous motor with LC filter[J]. Transactions of China Elec-trotechnical Society, 2019, 34(S1): 79-86.
[4] Salomaki J, Hinkkanen M, Luomi J.Influence of inverter output filter on maximum torque and speed of PMSM drives[J]. IEEE Transactions on Industry Applications, 2008, 44(1): 153-160.
[5] Karamanakos P, Geyer T.Guidelines for the design of finite control set model predictive controllers[J]. IEEE Transactions on Power Electronics, 2020, 35(7): 7434-7450.
[6] 章回炫, 范涛, 边元均, 等. 永磁同步电机高性能电流预测控制[J]. 电工技术学报, 2022, 37(17): 4335-4345.
Zhang Huixuan, Fan Tao, Bian Yuanjun, et al.Predictive current control strategy of permanent magnet synchronous motors with high performance[J]. Transactions of China Electrotechnical Society, 2022, 37(17): 4335-4345.
[7] 徐伟, 董定昊, 葛健, 等. 基于在线参数辨识补偿的直线感应电机低开关频率模型预测控制策略[J]. 电工技术学报, 2022, 37(16): 4116-4133.
Xu Wei, Dong Dinghao, Ge Jian, et al.Low switching frequency model predictive control strategy based on online parameter identification compensation of linear induction motor for urban rail application[J]. Transa-ctions of China Electrotechnical Society, 2022, 37(16): 4116-4133.
[8] 郭磊磊, 李国昊, 金楠, 等. 两电平电压源逆变器双矢量调制模型预测控制: 理论分析、实验验证和推广[J]. 电工技术学报, 2021, 36(1): 39-49.
Guo Leilei, Li Guohao, Jin Nan, et al.Two-vector-based modulated model predictive control method for 2-level voltage source inverters: theoretical analysis, experimental verification and extension[J]. Transa-ctions of China Electrotechnical Society, 2021, 36(1): 39-49.
[9] Zhang Yongchang, Yang Haitao.Two-vector-based model predictive torque control without weighting factors for induction motor drives[J]. IEEE Transa-ctions on Power Electronics, 2016, 31(2): 1381-1390.
[10] 张晓光, 闫康, 张文涵. 开绕组永磁同步电机混合双矢量模型预测控制[J]. 电工技术学报, 2021, 36(1): 96-106.
Zhang Xiaoguang, Yan Kang, Zhang Wenhan.Hybrid double vector model predictive control for open-winding permanent magnet synchronous motor with common DC bus[J]. Transactions of China Elec-trotechnical Society, 2021, 36(1): 96-106.
[11] 李祥林, 薛志伟, 阎学雨, 等. 基于电压矢量快速筛选的永磁同步电机三矢量模型预测转矩控制[J]. 电工技术学报, 2022, 37(7): 1666-1678.
Li Xianglin, Xue Zhiwei, Yan Xueyu, et al.Voltage vector rapid screening-based three-vector model predictive torque control for permanent magnet syn-chronous motor[J]. Transactions of China Electro-technical Society, 2022, 37(7): 1666-1678.
[12] 郭磊磊, 金楠, 李琰琰, 等. 电压源逆变器虚拟矢量模型预测共模电压抑制方法[J]. 电工技术学报, 2020, 35(4): 839-849.
Guo Leilei, Jin Nan, Li Yanyan, et al.Virtual vector based model predictive common-mode voltage redu-ction method for voltage source inverters[J]. Transa-ctions of China Electrotechnical Society, 2020, 35(4): 839-849.
[13] 陈卓易, 屈稳太. 基于PID型代价函数的永磁同步电机模型预测电流控制[J]. 电工技术学报, 2021, 36(14): 2971-2978.
Chen Zhuoyi, Qu Wentai.Model predictive current control for permanent magnet synchronous motors based on PID-type cost function[J]. Transactions of China Electrotechnical Society, 2021, 36(14): 2971-2978.
[14] Laczynski T, Mertens A.Predictive stator current control for medium voltage drives with LC filters[J]. IEEE Transactions on Power Electronics, 2009, 24(11): 2427-2435.
[15] Geyer T, Karamanakos P, Kennel R.On the benefit of long-horizon direct model predictive control for drives with LC filters[C]//2014 IEEE Energy Con-version Congress and Exposition (ECCE), Pittsburgh, PA, USA, 2014: 3520-3527.
[16] Zheng Changming, Dragičević T, Zhang Zhenbin, et al.Model predictive control of LC-filtered voltage source inverters with optimal switching sequence[J]. IEEE Transactions on Power Electronics, 2021, 36(3): 3422-3436.
[17] 郑长明, 张加胜. 基于最小阶扰动估计的永磁同步电机离散比例-积分准滑模控制[J]. 电工技术学报, 2018, 33(24): 5711-5719.
Zheng Changming, Zhang Jiasheng.Minimum-order disturbance estimation based discrete-time proportional-integral quasi-sliding mode control for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2018, 33(24): 5711-5719.
[18] Donoso F, Mora A, Cárdenas R, et al.Finite-set model-predictive control strategies for a 3L-NPC inverter operating with fixed switching frequency[J]. IEEE Transactions on Industrial Electronics, 2018, 65(5): 3954-3965.
[19] 薛诚, 宋文胜, 武雪松, 等. 无差拍优化五相永磁同步电机有限集模型预测转矩控制算法[J]. 中国电机工程学报, 2017, 37(23): 7014-7023, 7093.
Xue Cheng, Song Wensheng, Wu Xuesong, et al.Finite-control-set model predictive torque control algorithm with deadbeat optimization for five-phase permanent-magnet synchronous machines drives[J]. Proceedings of the CSEE, 2017, 37(23): 7014-7023, 7093.
[20] Young H A, Perez M A, Rodriguez J, et al.Assessing finite-control-set model predictive control: a com-parison with a linear current controller in two-level voltage source inverters[J]. IEEE Industrial Elec-tronics Magazine, 2014, 8(1): 44-52.