基于集成优化的感应电机无权重系数预测转矩控制

doi:10.19595/j.cnki.1000-6753.tces.201587

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (9393 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract As an emerging control strategy, predictive torque control (PTC) selects the optimal switching state by calculating the torque and flux tracking errors in the objective function, which is widely spread in the AC electrical drive system. Compared with traditional field orient control (FOC), PTC shows its superiority of fast dynamic response and low switching frequency. In order to unify the different terms in the objective function, parameter design is required to modify the weighting of torque and flux. However, the empirical weighting parameter is not easy to be fine-tuned according to different operating conditions. To solve the aforementioned issue, an ensemble optimization based weighting factor-less PTC is proposed for induction machines. The proposed method optimizes the tracking errors of torque and flux simultaneously. Thus, three switching states for optimal torque and flux are obtained, respectively. The optimal solution is subsequently achieved by the ensemble optimization mechanism. The effectiveness of the proposed method is verified by experimental results. Compared with the conventional PTC, the proposed method performs better at both steady state and transient state.

Key words： Induction machines predictive torque control weighting factor-less ensemble optimization

Received: 04 December 2020

PACS:

TM346

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Xie Haotian
	Wang Fengxiang
	Ke Dongliang
	Tang Ying
	Kennel Ralph

Cite this article:

Xie Haotian,Wang Fengxiang,Ke Dongliang等. Ensemble Optimization Based Weighting Factor-Less Predictive Torque Control for Induction Machines[J]. Transactions of China Electrotechnical Society, 2022, 37(12): 2992-3003.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.201587 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I12/2992

[1] 席裕庚, 李德伟, 林姝. 模型预测控制—现状与挑战[J]. 自动化学报, 2013, 39(3): 222-236.
Xi Yugeng, Li Dewei, Lin Shu.Model predictive control-status and challenges[J]. ACTA Automatica Sinica, 2013, 39(3): 222-236.
[2] 郭磊磊, 金楠, 李琰琰. 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.Virtual vector based model predictive common-mode voltage reduction method for voltage source inverters[J]. Transactions of China Electrotechnical Society, 2020, 35(4): 839-849.
[3] 姚骏, 刘瑞阔, 尹潇. 永磁同步电机三矢量低开关频率模型预测控制研究[J]. 电工技术学报, 2018, 33(13): 2935-2945.
Yao Jun, Liu Ruikuo, Yin Xiao.Research on 3-vector model predictive control with low switching fre-quency of permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2018, 33(13): 2935-2945.
[4] 郑泽东, 王奎, 李永东. 采用模型预测控制的交流电机电流控制器[J]. 电工技术学报, 2013, 28(11): 118-123.
Zheng Zedong, Wang Kui, Li Yongdong.Current controller for AC motors using model predictive control[J]. Transactions of China Electrotechnical Society, 2013, 28(11): 118-123.
[5] 杨家强, 黄进. 基于转矩预测的异步电机直接转矩控制研究[J]. 浙江大学学报(工学版), 2005, 39(9): 1277-1281.
Yang Jiaqiang, Huang Jin.Research on direct torque control of induction machine based on torque pre-diction[J]. Journal of Zhejiang University (Engineering Science), 2005, 39(9): 1277-1281.
[6] 王祯, 尹项根, 陈玉. 基于连续控制集模型预测控制的MMC桥臂电流控制策略[J]. 电力系统自动化, 2020, 44(10): 85-91.
Wang Zhen, Yin Xianggen, Chen Yu.Arm current control strategy of modular multilevel converter based on continuous control set model predictive control[J]. Automation of Electric Power Systems, 2020, 44(10): 85-91.
[7] 牛里, 杨明, 刘可述. 永磁同步电机电流预测控制算法[J]. 中国电机工程学报, 2012, 32(6): 131-137.
Niu Li, Yang Ming, Liu Keshu.A predictive current control scheme for permanent magnet synchronous motors[J]. Proceedings of the CSEE, 2012, 32(6): 131-137.
[8] 夏长亮, 王东, 程明. 高效能电机系统可靠运行与智能控制基础研究进展[J]. 中国基础科学, 2017, 19(1): 16-23.
Xia Changliang, Wang Dong, Cheng Ming.Advance-ments of basic researches on high-efficiency motor system’s reliability and intelligence control[J]. China Basic Science, 2017, 19(1): 16-23.
[9] 李家祥, 汪凤翔, 柯栋梁. 基于粒子群算法的永磁同步电机模型预测控制权重系数设计[J]. 电工技术学报, 2021, 36(1): 50-59.
Li Jiaxiang, Wang Fengxiang, Ke Dongliang.Weighting factors design of model predictive control for per-manent magnet synchronous machine using particle swarm optimization[J]. Transactions of China Elec-trotechnical Society, 2021, 36(1): 50-59.
[10] 李昱, 郭宏, 平朝春, 等. 基于电流源变流器的永磁同步电机驱动系统全状态变量预测转矩控制[J]. 电工技术学报, 2021, 36(1): 15-26.
Li Yu, Guo Hong, Ping Zhaochun.A full-state variable predictive torque control of current source converter fed permanent magnet synchronous motor drives[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 15-26.
[11] 赵勇, 黄文新, 林晓刚, 等. 基于权重系数消除和有限控制集优化的双三相永磁容错电机快速预测直接转矩控制[J]. 电工技术学报, 2021, 36(1): 3-14.
Zhao Yong, Huang Wenxin, Lin Xiaogang.Fast predictive direct torque control of dual three-phase permanent magnet fault tolerant machine based on weighting factor elimination and finite control set optimization[J]. Transactions of China Electrote-chnical Society, 2021, 36(1): 3-14.
[12] 陈文汉, 孙丹, 王铭泽. 断相故障下开绕组永磁同步电机模型预测控制容错控制策略研究[J]. 电工技术学报, 2021, 36(1): 77-86.
Chen Wenhan, Sun Dan, Wang Mingze.Research on fault-tolerance strategy based on model predictive control for open-winding PMSM system under open-phase fault[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 77-86.
[13] Li Yu, Zhang Zhenbin, Li Kejun.Predictive current control for voltage source inverters considering dead-time effect[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(1): 35-42.
[14] Bramerdorfer G.Multiobjective electric machine optimization for highest reliability demands[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(2): 71-78.
[15] Rodriguez J, Kazmierkowski M P, Espinoza J R.State of the art of finite control set model predictive control in power electronics[J]. IEEE Transactions on Indu-strial Informatics, 2013, 9(2): 1003-1016.
[16] 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.
[17] Andersson A, Thiringer T.Assessment of an improved finite control set model predictive current controller for automotive propulsion applications[J]. IEEE Transactions on Industrial Electronics, 2020, 67(1): 91-100.
[18] Vazquez S, Leon J I, Franquelo L G.Model predictive control: a review of its applications in power electronics[J]. IEEE Industrial Electronics Magazine, 2014, 8(1): 16-31.
[19] Hua Wei, Chen Fuyang, Huang Wentao.Multivector-based model predictive control with geometric solution of a five-phase flux-switching permanent magnet motor[J]. IEEE Transactions on Industrial Electronics, 2020, 67(12): 10035-10045.
[20] Wang Fengxiang, Li Shihua, Mei Xuezhu.Model-based predictive direct control strategies for electrical drives: an experimental evaluation of PTC and PCC methods[J]. IEEE Transactions on Industrial Infor-matics, 2015, 11(3): 671-681.
[21] 胡虎, 李永东. 基于区域电压矢量表的交流异步电动机直接转矩预测控制策略研究[J]. 电工技术学报, 2004, 19(2): 25-31.
Hu Hu, Li Yongdong.A predictive direct torque control strategies of induction motor based on area voltage vector table[J]. Transactions of China Elec-trotechnical Society, 2004, 19(2): 25-31.
[22] 牛峰, 李奎, 王尧. 永磁同步电机模型预测直接转矩控制[J]. 电机与控制学报, 2015, 19(12): 60-67.
Niu Feng, Li Kui, Wang Yao.Model predictive direct torque control for permanent magnet synchronous motor[J]. Electric Machines and Control, 2015, 19(12): 60-67.
[23] 夏长亮, 张天一, 周湛清. 结合开关表的三电平逆变器永磁同步电机模型预测转矩控制[J]. 电工技术学报, 2016, 31(20): 83-92.
Xia Changliang, Zhang Tianyi, Zhou Zhanqing.Model predictive torque control with switching table for neutral point clamped three-level inverter-fed permanent magnet synchronous motor[J]. Transa-ctions of China Electrotechnical Society, 2016, 31(20): 83-92.
[24] 张永昌, 杨海涛. 感应电机模型预测磁链控制[J]. 中国电机工程学报, 2015, 35(3): 719-726.
Zhang Yongchang, Yang Haitao.Model predictive flux control for induction machines[J]. Proceedings of the CSEE, 2015, 35(3): 719-726.
[25] Geyer T.Algebraic tuning guidelines for model predictive torque and flux control[J]. IEEE Transa-ctions on Industry Applications, 2018, 54(5): 4464-4475.
[26] Dragičević T, Novak M.Weighting factor design in model predictive control of power electronic con-verters: an artificial neural network approach[J]. IEEE Transactions on Industrial Electronics, 2019, 66(11): 8870-8880.
[27] Norambuena M, Rodriguez J, Zhang Zhenbin.A very simple strategy for high-quality performance of AC machines using model predictive control[J]. IEEE Transactions on Power Electronics, 2019, 34(1): 794-800.
[28] 魏玉春, 夏长亮, 刘涛. 两电机转矩同步系统有限集模型预测控制[J]. 电工技术学报, 2016, 31(19): 115-122.
Wei Yuchun, Xia Changliang, Liu Tao.Finite control set model predictive control for dual-motor torque synchronous system[J]. Transactions of China Elec-trotechnical Society, 2016, 31(19): 115-122.
[29] 徐艳平, 李园园, 张保程. 一种消除权重系数三矢量模型预测转矩控制[J]. 电工技术学报, 2018, 33(16): 3925-3934.
Xu Yanping, Li Yuanyuan, Zhang Baocheng.Three-vector based model predictive torque control of eliminating weighting factor[J]. Transactions of China Electrotechnical Society, 2018, 33(16): 3925-3934.
[30] 张敏敏, 李宏光, 宿翀. 基于模型预测控制的动态多属性决策方法[J]. 控制工程, 2018, 25(3): 535-540.
Zhang Minmin, Li Hongguang, Su Chong.A model predictive control based approach for dynamic multi-attribute decision making[J]. Control Engineering of China, 2018, 25(3): 535-540.
[31] Rojas C, Rodriguez J, Villarroel F.Predictive torque and flux control without weighting factors[J]. IEEE Transactions on Industrial Electronics, 2013, 60(2): 681-690.
[32] Zhang Yongchang, Bai Yuning, Yang Haitao.A universal multiple-vector-based model predictive control of induction motor drives[J]. IEEE Transa-ctions on Power Electronics, 2018, 33(8): 6957-6969.