Abstract：Weighting factor is the most important control parameter in model predictive control, which affects the performance of the system directly. In order to ensure that the system operation can have good performance under different conditions, a weighting factor self-tuning method is proposed for the indirect matrix converter with induction motor system. In this method, the control objectives of model predictive control are used as fuzzy inputs, and the weighting factors are used as output variables. And the weighting factors are adjusted in real time according to working conditions using the fuzzy algorithm. Simulation and experimental results show that the self-tuning of the weighting factors can be realized to adapt different operating conditions. The proposed weighting factor self-tuning method has good grid power quality and excellent dynamic/static drive performance of the induction motor. Furthermore, compared with the conventional predictive control method with fixed weighting factors, the total harmonic distortion of the grid current has been reduced significantly.
梅杨, 易高. 间接矩阵变换器-异步电机调速系统模型预测控制权重系数自整定方法[J]. 电工技术学报, 2020, 35(18): 3938-3948.
Mei Yang, Yi Gao. A Weighting Factor Self-Tuning Method in Model Prediction Control for Indirect Matrix Converter with Induction Motor System. Transactions of China Electrotechnical Society, 2020, 35(18): 3938-3948.
[1] 孙盼, 孙军, 吴旭升, 等. 间接矩阵变换器优化SVPWM及其简化的同步控制[J]. 电工技术学报, 2019, 34(10): 2187-2193. Sun Pan, Sun Jun, Wu Xusheng, et al.Optimized space vector pulse width modulation and simplified synchronization control of indirect matrix con- verter[J]. Transactions of China Electrotechnical society, 2019, 34(10): 2187-2193. [2] 程启明, 黄伟, 程尹曼, 等. 双级矩阵变换器驱动永磁同步电机的混合非线性控制系统[J]. 电工技术学报, 2017, 32(4): 101-111. Cheng Qiming, Huang Wei, Cheng Yiman, et al.Hybrid nonlinear control system of permanent magnet synchronous motor driven by two stage matrix converter[J]. Transactions of China Electro- technical Society, 2017, 32(4): 101-111. [3] Rivera M, Amirbande M, Vahedi A, et al.Predictive control strategies operating at fixed switching frequency for input filter resonance mitigation in an indirect matrix converter[C]//2017 IEEE Southern Power Electronics Conference (SPEC), Puerto Varas, 2017: 1-6. [4] Miguel López, José Rodriguez, César Silva, Predi- ctive torque control of a multidrive system fed by a dual indirect matrix converter[J]. IEEE Transactions on Industrial Electronics, 2015, 62(5): 2731-2741. [5] Vazquez S, Jose I Leon, Leopddo G, et al.Model predictive control: a review of its applications in power electronics[J]. IEEE Industrial Electronics Magazine, 2014, 8(1): 16-31. [6] 梅杨, 王梁, 黄伟超. 间接矩阵变换器-异步电机调速系统的优化模型预测控制[J]. 电工技术学报, 2019, 34(14): 2884-2893. Mei Yang, Wang Liang, Huang Weichao.An optimized model predictive control method for the induction motor drives fed by an indirect matrix converter[J]. Transactions of China Electrotechnical Society, 2019, 34(14): 2884-2893. [7] 徐艳平, 张保程, 周钦. 永磁同步电机双矢量模型预测电流控制[J]. 电工技术学报, 2017, 32(20): 222-230. Xu Yanping, Zhang Baocheng, Zhou Qin.Two-vector based model predictive current control for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2017, 32(20): 222-230. [8] Alireza S, Davari, Davood Arab Khaburi, et al. An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor[J]. IEEE Transactions on Power Electronics, 2012, 27(3): 1540-1551. [9] 郑泽东, 陈宁宁, 李永东. 基于模型预测控制的异步电机弱磁控制新方法[J]. 电工技术学报, 2014, 29(3): 33-40. Zheng Zedong, Chen Ningning, Li Yongdong, A novel flux weakening method for induction motors based on model predictive control[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 33-40. [10] Ma Xinghe, Tan Guojun, Wu Xiaolan, et al.Research on improved four-step commutation strategy of matrix converter based on two line voltage synthesis[M]. Colombia: IEEE Computer Society, 2007. [11] Verghese G C, Sanders S R.Observers for flux estimation in induction machines[J]. IEEE Transa- ctions on Industrial Electronics, 1988, 35(1): 85-94. [12] 武俊峰, 王世明. 一种基于模糊控制的两步法预测控制方法[J]. 电机与控制学报, 2010, 14(7): 75-80. Wu Junfeng, Wang Shiming.Research method on a two-step general predictive control based on fuzzy control[J]. Electric Machines and Control, 2010, 14(7): 75-80. [13] 张洪帅, 王平, 韩邦成. 基于模糊滑模观测器的磁悬浮高速永磁同步电机转子位置检测方法[J]. 电工技术学报, 2014, 29(7): 147-153. Zhang Hongshuai, Wang Ping, Han Bangcheng.Rotor position measuring method for magnetic levitation high speed PMSM based on fuzzy sliding mode observer[J]. Transactions of China Electro- technical society, 2014, 29(7): 147-153. [14] Padhee V, Sahoo A, Ned M, et al.Modulation techniques for enhanced reduction in common mode voltage and output voltage distortion in indirect matrix converters[J]. IEEE Transactions on Power Electronics, 2017, 32(11): 8655-8670. [15] Vekhande, Vishal, Pimple B B, et al. Modulation of indirect matrix converter under unbalanced source voltage condition[C]//IEEE Energy Conversion Congress and Exposition, Arizona, USA, 2011: 225-229. [16] Rodriguez J, Kolar J, Espinoza J, et al.Predictive torque and flux control of an induction machine fed by an indirect matrix converter[C]//IEEE Inter- national Conference on Industrial Technology, Lyon, USA, 2015: 1857-1863. [17] Lü Shuaishuai, Lin Hui.Model predictive direct torque control for PMSM with duty cycle opti- mization[C]//2015 Fifth International Conference on Instrumentation and Measurement, Computer, Com- munication and Control (IMCCC), Qinhuangdao, 2015: 866-871. [18] Zhou Dehong, Zhao Jin, Liu Yang.Online tuning of weighting factors based on sugeno fuzzy method in predictive torque control of four-switch three-phase inverter-fed IM[C]//2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Piazza Edwin Cerio, 2016: 734-739. [19] 孙德辉, 李志军. 计算机控制系统[M]. 北京: 国防工业出版社, 2010. [20] 涂文聪, 骆光照, 刘卫国. 基于模糊动态代价函数的永磁同步电机有限控制集模型预测电流控制[J]. 电工技术学报, 2017, 32(16): 89-97. Tu Wencong, Luo Guangzhao, Liu Weiguo.Finite- control-set model predictive current control for permanent magnet synchronous motor based on dynamic cost function using fuzzy method[J]. Transactions of China Electrotechnical Society, 2017, 32(16): 89-97.
2020, Vol. 35 
