一种开关频率可控的有限集模型预测控制

doi:10.19595/j.cnki.1000-6753.tces.211387

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Abstract The finite-control-set model predictive control (FCS-MPC) for the inverters has the advantages of simplicity, fast responsiveness and easy inclusion of multiple objectives. However, the absence of the modulator makes the switching frequency of the inverter vary with various factors such as the working point and system parameters. To solve the problem of variable switching frequency while retaining the advantages of the FCS-MPC, this paper proposed a switching-frequency-controlled FCS-MPC based on the adaptive cost function. The weighting factor of the switching cost is adjusted according to the error between the reference and the sampled frequency to realize the reference tracking. Experimental results on a 3-phase permanent magnet synchronous motor drive validate that the proposed method can track the reference frequency in the full working range, and has robustness against parameter variation, while retaining the advantages of the FCS-MPC.

Key words： Finite-control-set model predictive control (FCS-MPC) switching frequency control cost function current control

Received: 03 September 2021

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TM46

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	Chen Zhuoyi
	Qu Wentai
	Qiu Jianqi

Cite this article:

Chen Zhuoyi,Qu Wentai,Qiu Jianqi. A Switching-Frequency-Controlled Finite-Control-Set Model Predictive Control Method[J]. Transactions of China Electrotechnical Society, 2022, 37(16): 4134-4142.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.211387 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I16/4134

[1] Wang Fengxiang, Mei Xuezhu, Rodriguez J, et al.Model predictive control for electrical drive systems- an overview[J]. CES Transactions on Electrical Machines and Systems, 2017, 1(3): 219-230.
[2] 齐昕, 苏涛, 周珂, 等. 交流电机模型预测控制策略发展概述[J]. 中国电机工程学报, 2021, 41(18): 6408-6418.
Qi Xin, Su Tao, Zhou Ke, et al.Development of AC motor model predictive control strategy-an overview[J]. Proceedings of the CSEE, 2021, 41(18): 6408-6418.
[3] Vazquez S, Rodriguez J, Rivera M, et al.Model predictive control for power converters and drives: advances and trends[J]. IEEE Transactions on Indu- strial Electronics, 2017, 64(2): 935-947.
[4] Wang Luocheng, Zhao Tiefu, He Jiangbiao.Investi- gation of variable switching frequency in finite control set model predictive control on grid- connected inverters[J]. IEEE Open Journal of Industry Applications, 2021, 2: 178-193.
[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] 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.
[7] 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.
[8] Wang Xiaohe, Sun Dan.Three-vector-based low- complexity model predictive direct power control strategy for doubly fed induction generators[J]. IEEE Transactions on Power Electronics, 2017, 32(1): 773-782.
[9] Tarisciotti P, Zanchetta P, Watson P, et al.Modulated model predictive control for a three-phase active rectifier[J]. IEEE Transactions on Industry Appli- cations, 2015, 51(2): 1610-1620.
[10] Wang Yuchen, Li Hongmei, Liu Rundong, et al.Modulated model-free predictive control with mini- mum switching losses for PMSM drive system[J]. IEEE Access, 2020, 8: 20942-20953.
[11] Rivera M, Kouro S, Rodriguez J, et al.Predictive current control in a current source inverter operating with low switching frequency[C]//4th International Conference on Power Engineering, Energy and Elec- trical Drives, Istanbul, 2013: 334-339.
[12] Geyer T.Model predictive direct torque control: derivation and analysis of the state-feedback control law[J]. IEEE Transactions on Industry Applications, 2013, 49(5): 2146-2157.
[13] 陈琢, 王琛琛, 成前. 基于单一矢量的两电平逆变器快速模型预测控制[J]. 电工技术学报, 2021, 36(增刊2): 654-664.
Chen Zhuo, Wang Chenchen, Cheng Qian.Fast model predictive control of two-level inverter based on single vector[J]. Transactions of China Electro- technical Society, 2021, 36(S2): 654-664.
[14] Zhang Xing, Wang Yangjun, Yu Changzhou, et al.Hysteresis model predictive control for high-power grid-connected inverters with output LCL filter[J]. IEEE Transactions on Industrial Electronics, 2016, 63(1): 246-256.
[15] Aguirre M, Kouro S, Rojas C A, et al.Switching frequency regulation for FCS-MPC based on a period control approach[J]. IEEE Transactions on Industrial Electronics, 2018, 65(7): 5764-5773.
[16] 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.
[17] Young H A, Perez M A, Rodriguez J.Analysis of finite-control-set model predictive current control with model parameter mismatch in a three-phase inverter[J]. IEEE Transactions on Industrial Elec- tronics, 2016, 63(5): 3100-3107.
[18] Chen Zhuoyi, Qiu Jianqi, Jin Mengjia.Adaptive finite-control-set model predictive current control for IPMSM drives with inductance variation[J]. IET Electric Power Applications, 2017, 11(5): 874-884.