Improved Sensorless Control of Linear Oscillatory Machine Based on Online Parameter Identification and Adaptive Harmonic Extraction Filter
Ge Jian1, Gong Yifan1, Xu Wei2,3, Liao Kaiju2,3, Su Shihu4
1. State Key Laboratory of Advanced Electromagnetic Technology Huazhong University of Science and Technology Wuhan 430074 China; 2. Key Laboratory of High Density Electromagnetic Power and Systems Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China; 3. University of Chinese Academy of Sciences Beijing 100049 China; 4. CRRC Zhuzhou Motor Co. Ltd Zhuzhou 412001 China
Abstract：Sensorless control is an important control strategy for linear oscillatory machines (LOM). The traditional position observer often has low accuracy and poor anti-interference ability. The deviation of stroke observation affects the closed-loop control of piston stroke and resonance frequency tracking control of LOM. Therefore, this paper provides an improved sensorless control method for LOM based on online parameter identification and adaptive harmonic extraction filters. Firstly, the amplitude-frequency characteristic is applied to analyze parameter sensitivity for LOM. The impacts of different circuit parameters on stroke observation are analyzed. It is proved that the inductance parameter has a more prominent impact on stroke observation. Therefore, the main object of the parameter identification algorithm is the inductance parameter. Secondly, a parameter identification strategy based on a high-frequency injection method is designed. The influence of high-frequency voltage excitation on LOM is studied by analyzing the forced vibration system, and the feasibility of the algorithm in online parameter identification is demonstrated. Then, a new adaptive harmonic extraction filter is designed to solve the harmonic extraction problem, and the fundamental signal can be effectively decayed. Furthermore, an amplitude calculation method based on an orthogonal generator is designed to accelerate data update speed and improve stability, which can obtain accurate piston amplitude information. Finally, the simulation and experimental results show that this method can accurately identify the motor parameters, thereby improving the accuracy of stroke observation. The following conclusions can be drawn. (1) The impact of a 5% deviation in inductance parameters on stroke observation is much greater than the 10% deviation in resistance parameters, indicating that the accuracy of the stroke observation algorithm is mainly affected by the inductance parameter. (2) Injecting high-frequency voltage signals during LOM operation has little impact on the movement of the piston. (3) The designed adaptive harmonic extraction filter can extract harmonic signals with smaller amplitudes. The extraction of harmonic signals is more accurate and stable than second-order generalized integrators. (4) Compared with the traditional stroke observation method, the accuracy of the stroke observation after parameter identification and correction is significantly improved. In conclusion, the proposed stroke observation algorithm solves the traditional algorithm's high parameter sensitivity problem. It can obtain accurate stroke observation results even in the case of inaccurate parameters and dynamic changes in parameters.
葛健, 宫逸凡, 徐伟, 廖凯举, 苏诗湖. 基于在线参数辨识及自适应谐波提取滤波器的改进型直线振荡电机无位置传感器控制[J]. 电工技术学报, 2024, 39(22): 7099-7110.
Ge Jian, Gong Yifan, Xu Wei, Liao Kaiju, Su Shihu. Improved Sensorless Control of Linear Oscillatory Machine Based on Online Parameter Identification and Adaptive Harmonic Extraction Filter. Transactions of China Electrotechnical Society, 2024, 39(22): 7099-7110.
[1] 徐伟, 李想, 廖凯举, 等. 直线振荡电机拓扑结构及应用综述[J]. 电工技术学报, 2022, 37(21): 5377-5401. Xu Wei, Li Xiang, Liao Kaiju, et al.Overview of linear oscillatory machines: topology and appli- cation[J]. Transactions of China Electrotechnical Society, 2022, 37(21): 5377-5401. [2] 陈梁远, 李黎川. 压缩机用直线电机及其关键技术发展综述[J]. 中国电机工程学报, 2013, 33(15): 52-68, 15. Chen Liangyuan, Li Lichuan.Development of the linear motor and its key technologies for reciprocating compressors[J]. Proceedings of the CSEE, 2013, 33(15): 52-68, 15. [3] Norhisam M, Wong K C, Mariun N, et al.Thrust characteristics of linear oscillatory actuator for liquid pump and its effect to vibration[C]//The fifth inter- national symposium on Linear Drives for Industry Applications, Kobe-Awaji, 2005: 60-63. [4] Chen Zhiqian, Mutuwo T, Shinji D, Shigeru Okuma, An extended electromotive force model for sensorless control of interior permanent magnet synchronous motors[J]. IEEE Transaction on Industrial Electronics, 50(2): 288-295. [5] 谢洁飞. 动磁式直线压缩机理论与试验研究[D]. 杭州: 浙江大学, 2005. Xie Jiefei.Study of theory and testing on a moving magnet linear compressor[D]. Hangzhou: Zhejiang University, 2005. [6] Liao Kaiju, Xu Wei, Bai Lili, et al.Improved position sensorless piston stroke control method for linear oscillatory machine via an hybrid terminal sliding- mode observer[J]. IEEE Transactions on Power Electronics, 2022, 37(12): 14186-14197. [7] 夏永明. 新型双定子直线振荡电机的研究[D]. 杭州: 浙江大学, 2007. Xia Yongming.Research on the novel linear oscillatory motor with two separated stators[D]. Hangzhou: Zhejiang University, 2007. [8] 雷美珍. 新型无内定子动磁式直线振荡执行器的设计及其关键技术研究[D]. 杭州: 浙江理工大学, 2014. Lei Meizhen.Design and essential technologies research of a novel moving-magnet linear oscillatory actuator with no inner-stators[D]. Hangzhou: Zhejiang Sci-Tech University, 2014. [9] Suzuki T, Koyama M, Nagata S, et al.Position sensor-less resonant frequency estimation method for linear compressor with assist springs[C]//2020 International Conference on Electrical Machines (ICEM), Gothenburg, Sweden, 2020: 1206-1212. [10] Chun T W, Ahn J R, Lee H H, et al.A novel strategy of efficiency control for a linear compressor system driven by a PWM inverter[J]. IEEE Transactions on Industrial Electronics, 2008, 55(1): 296-301. [11] Zhang Tao, Yu Haitao.A novel strategy of resonant frequency tracking control for linear compressor[C]// 2017 20th International Conference on Electrical Machines and Systems (ICEMS), Sydney, NSW, Australia, 2017: 1-6. [12] Chun T W, Ahn J R, Tran Q V, et al.Method of estimating the stroke of LPMSM driven by PWM inverter in a linear compressor[C]//APEC 07-Twenty- Second Annual IEEE Applied Power Electronics Conference and Exposition, Anaheim, CA, USA, 2007: 403-406. [13] 廖凯举, 徐伟, 葛健, 等. 基于积分滑模观测器的直线振荡电机谐振频率跟踪控制[J]. 电工技术学报, 2024, 39(14): 4366-4376. Liao Kaiju, Xu Wei, Ge Jian, et al.Resonant frequency tracking control of linear oscillatory machine based on integral sliding mode observer[J]. Transactions of China Electrotechnical Society, 2024, 39(14): 4366-4376. [14] 余海涛, 张涛. 直线振荡电机谐振频率跟踪控制技术研究[J]. 电机与控制学报, 2019, 23(6): 63-72. Yu Haitao, Zhang Tao.Strategy of resonant frequency tracking for linear oscillatory actuator[J]. Electric Machines and Control, 2019, 23(6): 63-72. [15] Xu Wei, Liao Kaiju, Wang Qizhe, et al.A stroke estimation method for linear oscillatory machine using an improved sliding mode observer[J]. IEEE Transactions on Industry Applications, 2022, 58(6): 7286-7296. [16] Latham J, McIntyre M L, Mohebbi M. Sensorless resonance tracking and stroke control of a linear vapor compressor via nonlinear observers[J]. IEEE Transactions on Industrial Electronics, 2018, 65(5): 3720-3729. [17] Xu Wei, Wang Qizhe, Li Xiang, et al.A novel resonant frequency tracking control for linear compressor based on MRAS method[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(3): 227-236. [18] Xu Wei, Wang Qizhe, Liu Yi, et al.Adaptive full-order displacement observer for sensorless resonant frequency tracking control of linear oscillatory machines[J]. IEEE Transactions on Industrial Electronics, 2022, 69(2): 1310-1321. [19] Zhang Tao, Yu Haitao.Parameter estimation of linear oscillatory actuator with RLS method[C]//20th International Conference on Electrical Machines and Systems (ICEMS), Sydney, NSW, Australia, 2017: 1-6. [20] Wang Liqiang, Lei Meizhen.Research on observer algorithm of mover displacement for linear oscillatory actuator based on online stator resistance identi- fication[C]//Chinese Control and Decision Confer- ence (CCDC), Shenyang, China, 2018: 6614-6618. [21] 李东暘. 直线振荡电机控制系统设计及其无位置控制算法研究[D]. 南京: 东南大学, 2020. Li Dongyang.Reseach on control system and sensorless control method of linear ocsillatory motor[D]. Nanjing: Southeast University, 2020. [22] Cadman R V, Cohen R.Electrodynamic oscillating compressors: part 1-design based on linearized loads[J]. Journal of Basic Engineering, 1969, 91(4): 656-663. [23] 于明湖. 直线压缩机用横向磁通永磁直线振荡电机系统研究[D]. 杭州: 浙江大学, 2011. Yu Minghu.Research on system of transverse-flux permanent magnet linear oscillatory actuator for linear compressor[D]. Hangzhou: Zhejiang University, 2011. [24] 黄科元, 周佳新, 刘思美, 等. 考虑逆变器非线性永磁同步电机高频注入电感辨识方法[J]. 电工技术学报, 2021, 36(8): 1607-1616. Huang Keyuan, Zhou Jiaxin, Liu Simei, et al.Inductance identification method of permanent magnet synchronous motor considering inverter nonlinearity based on high-frequency injection[J]. Transactions of China Electrotechnical Society, 2021, 36(8): 1607-1616. [25] 于安博, 刘利, 阚志忠, 等. 高频脉振信号注入永磁同步电机无滤波器初始位置辨识方法[J]. 电工技术学报, 2021, 36(4): 801-809. Yu Anbo, Liu Li, Kan Zhizhong, et al.Initial position identification of PMSM with filterless high frequency pulse signal injection method[J]. Transactions of China Electrotechnical Society, 2021, 36(4): 801-809. [26] 刘亚静, 段超. 全数字自适应滤波器不同离散结构的性能对比分析[J]. 电工技术学报, 2021, 36(20): 4339-4349. Liu Yajing, Duan Chao.Performance comparison and analysis of all-digital adaptive filter with different discrete methods[J]. Transactions of China Electro- technical Society, 2021, 36(20): 4339-4349.
2024, Vol. 39 
