Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (7): 1534-1540.doi: 10.13229/j.cnki.jdxbgxb20210056

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Observer-based inverter characteristic self-learning and compensation control

Lin LI(),Jun LI,Bo PANG,Da-wei QU,Xin-mei YUAN()   

  1. State Key Laboratory of Automotive Simulation and Control，Jilin University，Changchun 130022，China
  • Received:2021-01-19 Online:2022-07-01 Published:2022-08-08
  • Contact: Xin-mei YUAN E-mail:ll_jlu@163.com;yuan@jlu.edu.cn

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Abstract:

In the control of AC motors， the inverter output voltage is difficult to be accurately controlled due to the inverter disturbance， which affects the output torque and efficiency. The inverter disturbance has complex nonlinear characteristics， so it is difficult to be well compensated by simply using the inverter interlock time. Consequently， offline inverter disturbance calibration is required. In this paper， an observer-based inverter disturbance self-learning and compensation method is implemented. Inverter disturbance characteristics can be accurately obtained without offline calibration. At the same time， high-performance inverter disturbance compensation is realized. By implementing proposed compensation methods to a 1 kW prototype permanent magnet synchronous motor， the performance of the inverter disturbance self-learning and compensation are both verified.

Key words: power electronics and power drives, permanent magnet synchronous motor, inverter interference, self-learning, observer

CLC Number: 

  • TM341

Fig.1

Three-phase inverter structure"

Fig.2

Single-phase inverter equivalent circuit"

Fig.3

Timing chart of IGBT switching process"

Fig.4

Experimental results of inverter interference voltage"

Fig.5

Structure diagram of PMSM control system with open-loop inverter interference compensation"

Fig.6

Current observer structure"

Fig.7

Structure diagram of PMSM control system with disturbance observer and open-loop inverter disturbance compensation"

Table 1

Motor parameter table"

参数类型参数值参数类型参数值
连接方式Y型连接d轴电感/mH2.4
母线电压/V100q轴电感/mH2.75
极对数4反电势系数/Wb0.1693
绕组电阻/Ω0.1额定转速/（r?min-1）2000

Fig.8

Characteristics of inverter interference obtained by self-learning and offline calibration"

Fig.9

Analysis of phase current waveform in control strategy"

Fig.10

Three compensation functions for interference voltage compensation"

Fig.11

Inverter interference voltage compensation experiment results"

1 Yi Chieh Pai, Chang Jun-ping, Cheng Ming-yang, et al. Dead-time effects compensation for PMSM drives―an adaptive linear neuron approach[C]∥IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, Kaohsiung, China, 2017:1025-1030.
2 Li Hui, Qu Yue, Lu Jun-wei, et al. A composite strategy for harmonic compensation in standalone inverter based on linear active disturbance rejection control[J]. Energies,2019,12(13):2618.
3 Zhou Peng, Xu Hai-ping, Guan Tao, et al. Harmonic current compensation of PMSM based on disturbance observer and robustness analysis[C]∥IEEE 3rd International Electrical and Energy Conference (CIEEC), Beijing, China, 2019: 1258-1263.
4 Dou Xiao-bo, Jiao Yang, Yang Kang, et al. An optimal grid current control strategy with grid voltage observer (GVO) for LCL‐filtered grid‐connected inverters[J]. IEEJ Transactions on Electrical and Electronic Engineering,2018,13(5): 777-784.
5 Jeong-woo Lim, Bu Han-young, Cho Young-hoon. Novel dead-time compensation strategy for wide current range in a three-phase inverter[J]. Electronics 2019, 8(1):No.92.
6 Abdelali El Aroudi, Al-Numay Mohamed, Garcia Germain, et al. Analysis of nonlinear dynamics of a quadratic boost converter used for maximum power point tracking in a grid-interlinked PV system[J]. Energies,2018,12(1):No.61.
7 李玮.永磁同步电机逆变器非线性补偿控制[J]. 电气传动,2019,49(12):3-8.
Li Wei. Non-linear compensation control of permanent magnet synchronous motor inverter[J]. Electric Drive, 2019, 49(12):3-8.
8 Yuan Xin-mei, Brown Ian, Lorenz Robert D, et al. Observer-based inverter disturbance compensation[C]∥ IEEE Energy Conversion Congress and Exposition, San Jose, USA,2009: 2520-2527.
9 Xia Jing-lin, Sun Weo, Yin Yue, et al. FPGA based direct measurement of PWM voltage and inverter disturbance[C]∥The 19th International Conference on Electrical Machines and Systems (ICEMS), Chiba, Japan,2016:1-4.
10 袁新枚.车用电机原理及应用[M]. 北京:机械工业出版社,2016.
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