An Adaptive PI Controller with Real-Time Current Compensation for the Electromechanical Actuator Driven by Switched Reluctance Motor

LONG Yun; DU Jinhua; BU Jiabao; LIANG Deliang

doi:10.7652/xjtuxb202402019

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An Adaptive PI Controller with Real-Time Current Compensation for the Electromechanical Actuator Driven by Switched Reluctance Motor

更新时间：2025-05-13

- An Adaptive PI Controller with Real-Time Current Compensation for the Electromechanical Actuator Driven by Switched Reluctance Motor
- Vol. 58, Issue 2, Pages: 184-194(2024)
- 作者机构：
  
  1. 西安交通大学电力设备电气绝缘国家重点实验室,西安,710049
  2. 西安交通大学陕西省智能电网重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202402019
  CLC： TM614
- Online First：10 February 2024，
  
  Published：2024
- 稿件说明：
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LONG Yun, DU Jinhua, BU Jiabao, et al. An Adaptive PI Controller with Real-Time Current Compensation for the Electromechanical Actuator Driven by Switched Reluctance Motor[J]. 2024, 58(2): 184-194.
DOI：

LONG Yun, DU Jinhua, BU Jiabao, et al. An Adaptive PI Controller with Real-Time Current Compensation for the Electromechanical Actuator Driven by Switched Reluctance Motor[J]. 2024, 58(2): 184-194. DOI： 10.7652/xjtuxb202402019.

摘要

针对传统控制算法难以克服开关磁阻电机的非线性并有效抑制转向叶片的负载扰动

因而无法对开关磁阻式机电作动器进行快速高精度位置跟踪控制的问题

提出了一种含实时电流补偿的自适应PI控制器。首先

通过负载观测器对作用于转向叶片上的空气动力负载进行实时估算

进而转化为电流环的实时补偿电流来抑制负载扰动的影响; 然后

基于开关磁阻电机的转矩电流特性拟合曲线与实时电流反馈值对转速环PI参数进行自适应最优调节

从而削弱了开关磁阻电机的非线性

增强了机电作动器的转速调节性能; 最后

通过引入位置前馈环节

有效提高了机电作动器的响应速度和位置跟踪精度。仿真和实验结果表明:相较于传统PI控制器、自适应PI控制器和含前馈环节的自适应PI控制器

所提控制器将开关磁阻式机电作动器的响应速度分别提高了49.3%、44.4%和30%

位置跟踪精度分别提高了54.8%、49.2%和2.9%

从而使得机电作动器具备更强的位置跟踪性能。

Abstract

Aiming at the issue that conventional algorithms cannot overcome the nonlinearity of switched reluctance motor(SRM)and effectively suppress the load disturbance of steering vane

thus being unable to achievefast and high precision position tracking control of the electromechanical actuator(EMA)driven by SRM

an adaptive PI controller with real-time current compensation is proposed. Firstly

the aerodynamic load exerting on the steering vane is estimated in real time by the load observer and the data is converted into the real-time compensation current to input the current loop to suppress the load disturbance. Secondly

the proposed adaptive controller is used to adjust the PI parameters of the speed loop optimally and adaptively based on the fitting curve of the torque-current characteristic and the real-time current of SRM

which weakens the nonlinearity of SRM and increases the speed regulation performance of the EMA. Finally

the position feedforward is adopted to improve the response speed and further enhance the position precision of EMA. Compared with the conventional PI controller

the adaptive PI controller

and the adaptive PI controller with position feedforward

the results of the simulation and experiment show that the proposed controller can improve the response speed and the position tracking precision of the EMA by 49.3%

44.4%

30% and 54.8%

49.2%

2.9% respectively

which makes the EMA possess better position tracking performance.

关键词

Keywords

references

潘金宽. 国外气垫船的发展现状 [J]. 中国军转民, 2019(2): 79-84.

PAN Jinkuan. Development status of hovercraft abroad [J]. Defence Industry Conversion in China, 2019(2): 79-84.

DING Fuguang, JIA Zhaowei, WANG Yuanhui. Backstepping sliding mode course control for the hovercraft with yaw rate constraint and system uncertainty [J]. IEEE Access, 2021, 9: 1882-1895.

闫桂山, 金振林. 容积伺服电液作动器位置控制研究 [J]. 西安交通大学学报, 2021, 55(1): 94-100.

YAN Guishan, JIN Zhenlin. Position control of the volume servo electro-hydrostatic actuators [J]. Journal of Xi'an Jiaotong University, 2021, 55(1): 94-100.

HAN J, ZHOU X, VON JOUANNE A, et al. Design of an SRM-based actuator for high-performance steering vane control on the landing craft air cushion hovercraft [C]//Conference Record of the 2004 IEEE Industry Applications Conference. Piscataway, NJ, USA: IEEE, 2004: 1598-1601.

LIU Chunqiang, LUO Guangzhao, CHEN Zhe, et al. Finite-time convergent multiple disturbance rejection control for electromechanical actuators [J]. IEEE Transactions on Power Electronics, 2021, 36(6): 6863-6878.

ZHANG Yujie, LIU Datong, MIAO Qiang, et al. Sensing data-based degradation estimation of electromechanical actuator under dynamic operating conditions [J]. IEEE Sensors Journal, 2022, 22(22): 21837-21845.

LI Yunhua, LU Hao, TIAN Shengli, et al. Posture control of electromechanical-actuator-based thrust vector system for aircraft engine [J]. IEEE Transactions on Industrial Electronics, 2012, 59(9): 3561-3571.

ORVIZ M, LABORDA D F, REIGOSA D, et al. Demagnetization detection and severity assessment in PMSMs using search coils exploiting machine's symmetry [J]. IEEE Transactions on Industry Applications, 2023, 59(4): 4021-4034.

HUANG Fengqin, ZHANG Xiaofei, QIN Guojun, et al. Demagnetization fault diagnosis of permanent magnet synchronous motors using magnetic leakage signals [J]. IEEE Transactions on Industrial Informatics, 2023, 19(4): 6105-6116.

MEHTA S, KABIR M A, HUSAIN I, et al. Modeling of mutually coupled switched reluctance motors based on net flux method [J]. IEEE Transactions on Industry Applications, 2020, 56(3): 2451-2461.

LONG Yun, DU Jinhua, YANG Kun, et al. Modelling of a direct-driven electromechanical actuation system based on the Lagrange-Maxwell equation [J]. IET Electric Power Applications, 2021, 15(11): 1438-1451.

SONG Shoujun, HUANG Shuo, ZHAO Yong, et al. Torque ripple reduction of switched reluctance machine with torque distribution and online correction [J]. IEEE Transactions on Industrial Electronics, 2023, 70(9): 8842-8852.

DE PAULA M V, BARROS T A D S, MOREIRA H S, et al. A Dahlin cruise control design method for switched reluctance motors with minimum torque ripple point tracking applied in electric vehicles [J]. IEEE Transactions on Transportation Electrification, 2021, 7(2): 730-740.

蔡辉, 王辉, 李孟秋, 等. 基于预测电流控制算法的开关磁阻电机转矩脉动抑制策略 [J]. 中国电机工程学报, 2019, 39(16): 4899-4909.

CAI Hui, WANG Hui, LI Mengqiu, et al. Predictive current control of switched reluctance motor for torque ripples minimization [J]. Proceedings of the CSEE, 2019, 39(16): 4899-4909.

KJAER P C, GRIBBLE J J, MILLER T J E. Dynamic testing of switched reluctance motors for high-bandwidth actuator applications [J]. IEEE/ASME Transactions on Mechatronics, 1997, 2(2): 123-135.

MADEMLIS C, KIOSKERIDIS I. Gain-scheduling regulator for high-performance position control of switched reluctance motor drives [J]. IEEE Transactions on Industrial Electronics, 2010, 57(9): 2922-2931.

金波, 陈伟, 胡羲. 开关磁阻电机航空作动器模糊控制方法 [J]. 兵工自动化, 2016, 35(3): 6-10.

JIN Bo, CHEN Wei, HU Xi. Fuzzy control method of switched reluctance motor aviation actuator [J]. Ordnance Industry Automation, 2016, 35(3): 6-10.

ZHENG Jianming, ZHAO Shengdun, WEI Shuguo. Iterative learning control for switched reluctance motor direct-drive electro-hydraulic position servo system [C]//2009 International Conference on Computer and Automation Engineering. Piscataway, NJ, USA: IEEE, 2009: 16-20.

WANG Jiajun. Speed-assigned position tracking control of SRM with adaptive backstepping control [J]. IEEE/CAA Journal of Automatica Sinica, 2018, 5(6): 1128-1135.

RAO Yun, LI Yuren, LIANG Bo, et al. Design and analysis of an active disturbance rejection robust adaptive control system for electromechanical actuator [C]///24th International Conference on Electrical Machines and Systems. [S.l.]: [s.n.], 2021: 909-914.

LIU Chunqiang, LUO Guangzhao, DUAN Xiaoli, et al. Adaptive LADRC-based disturbance rejection method for electromechanical servo system [J]. IEEE Transactions on Industry Applications, 2020, 56(1): 876-889.

SUN Xiaodong, WU Minkai, YIN Chunfang, et al. Model predictive thrust force control for linear motor actuator used in active suspension [J]. IEEE Transactions on Energy Conversion, 2021, 36(4): 3063-3072.

方靖荃, 邓文翔, 姚建勇, 等. 电机伺服系统快速自适应抗扰控制 [J]. 西安交通大学学报, 2021, 55(6): 44-52.

FANG Jingquan, DENG Wenxiang, YAO Jianyong, et al. A fast adaptive disturbance rejection control for motor servo systems [J]. Journal of Xi'an Jiaotong University, 2021, 55(6): 44-52.

YI Jianxin, WAN Xiaorong, LI Deshi. Exactly decoupled Kalman filtering for multitarget state estimation with sensor bias [J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(3): 2256-2271.

陈伯时. 电力拖动自动控制系统: 运动控制系统 [M]. 4版. 北京: 机械工业出版社, 2009.

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