基于非线性逆迟滞模型的液粘智能调速控制方法

doi:10.3901/JME.2025.12.305

机械工程学报 ›› 2025, Vol. 61 ›› Issue (12): 305-314.doi: 10.3901/JME.2025.12.305

• 交叉与前沿 • 上一篇

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基于非线性逆迟滞模型的液粘智能调速控制方法

汪首坤^1,2, 王晓军^1,2, 王亮^1,2, 汪浒江³, 王涛³, 郭刘洋³

1. 北京理工大学复杂系统智能控制与决策国家重点实验室北京 100081;
2. 北京理工大学伺服运动系统驱动与控制工信部重点实验室北京 100081;
3. 中国北方车辆研究所车辆传动重点实验室北京 100072

收稿日期:2024-09-21 修回日期:2025-02-12 发布日期:2025-08-07
作者简介:汪首坤，男，1977年出生，博士，教授。主要研究方向为电液伺服驱动与控制和无人平台运动控制。E-mail：bitwsk@bit.edu.cn;王亮(通信作者)，男，1994年出生，博士研究生。主要研究方向为非线性迟滞补偿控制、机器人运动驱动控制、路径跟踪与规划控制。E-mail：yanqianyi_liang@bit.edu.cn
基金资助:
基础研究资助项目(20195208003)。

Hydraulic Viscous Intelligent Speed Control Method Based on Nonlinear Inverse Hysteresis Model

WANG Shoukun^1,2, WANG Xiaojun^1,2, WANG Liang^1,2, WANG Hujiang³, WANG Tao³, GUO Liuyang³

1. Key Laboratory of Complex System Intelligent Control and Decision, Beijing Institute of Technology, Beijing 100081;
2. Key Laboratory of Servo Motion System and Control, Beijing Institute of Technology, Beijing 100081;
3. China North Vehicle Research Institute, Science and Technology on Vehicle Transmission Laboratory, Beijing Institute of Technology, Beijing 100072

Received:2024-09-21 Revised:2025-02-12 Published:2025-08-07

摘要/Abstract

摘要： 液粘调速系统软启动和无级调速的优点使其应用广泛，但其固有的死区、滞环等非线性特性增加了控制难度。针对液粘离合器的死区和滞环特性，研究一种基于非线性逆迟滞模型的液粘离合器智能调速方法。利用主迟滞回线数据对液粘离合器建模，经过非线性映射得到次迟滞回线信息，主迟滞回线和次迟滞回线共同构成逆迟滞模型；以逆迟滞模型为前馈环节、自抗扰控制器为反馈回路，设计调速方案，将非线性系统补偿为伪线性系统，以减小滞后和死区，提高控制精度。经过台架试验验证，所提出的控制方法可以减小系统死区，扩大有效控制区间；将系统的非线性度由40%～60%降低至20%以下；补偿系统固有滞后，使系统的迟滞量由开环控制下的40%～50%降低至逆补偿闭环控制下的15%；转折点滞后时间小于1 s；增强系统的动态性能，抑制输入转速波动对系统的影响。

关键词: 液粘调速系统, 非线性特性, 滞环特性, 逆迟滞模型, 自抗扰控制

Abstract: The advantages of soft start and step-less speed regulation of the viscous speed control system make it widely used, but its inherent nonlinear characteristics such as dead zone and hysteresis increase the control difficulty. Aiming at the dead zone and hysteresis characteristics of the hydro viscous speed control clutch, an intelligent speed control method of the hydro viscous clutch based on the nonlinear inverse hysteresis model is studied. The hydro viscous speed regulating clutch is modeled by using the data of the main hysteresis loop, and the information of the secondary hysteresis loop is obtained through nonlinear mapping, the main hysteresis loop and the secondary hysteresis loop together form the inverse hysteresis model; With the inverse hysteresis model as the feedforward link and the active disturbance rejection controller as the feedback loop, a speed regulation scheme is designed to compensate the nonlinear system into a pseudo-linear system to reduce the lag and dead zone and improve the control accuracy. After bench test verification, the proposed control method can reduce the dead zone of the system and expand the effective control range; Reduce the nonlinear degree of the system from 40%-60% to less than 20%; Compensate the inherent hysteresis of the system, so that the hysteresis of the system is reduced from 40%-50% under open-loop control to 15% under reverse compensation closed-loop control; Turning point lag time less than 1s; Enhance the dynamic performance of the system. Suppress the influence of input speed fluctuation on the system.

Key words: viscous speed control system, nonlinear characteristic, hysteresis characteristics, inverse hysteresis model, active disturbance rejection control

中图分类号:

TH137
TP215

汪首坤, 王晓军, 王亮, 汪浒江, 王涛, 郭刘洋. 基于非线性逆迟滞模型的液粘智能调速控制方法[J]. 机械工程学报, 2025, 61(12): 305-314.

WANG Shoukun, WANG Xiaojun, WANG Liang, WANG Hujiang, WANG Tao, GUO Liuyang. Hydraulic Viscous Intelligent Speed Control Method Based on Nonlinear Inverse Hysteresis Model[J]. Journal of Mechanical Engineering, 2025, 61(12): 305-314.

参考文献

[1] 马立刚. 履带车辆冷却风扇液粘调速与控制研究[D]. 北京：北京理工大学，2019. MA Ligang. Research on the hydro-viscous speed regulation and control of the cooling fan for tracked vehicle[D]. Beijing：Beijing Institute of Technology，2019.
[2] SUN Chenchen，GONG Guofang，WANG Shuai，et al. Optimal control of a novel cutter head driving system for tunnel boring machine[J]. Proceedings of the Institution of Mechanical Engineers，Part K：Journal of Multi-body Dynamics，2020，234(2)：369-378.
[3] BAO Heyun，XU Tongjing，JIN Guanghu，et al. Analysis of dynamic engaged characteristics of eet clutch in variable speed transmission of a helicopter[J]. Processes，2020，8(11)：1474.
[4] PETKOVIĆ D，ĆOJBAŠIĆ Ž，NIKOLIĆ V，et al. Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission[J]. Energy，2014，64(1)：868-874.
[5] GONG Huasheng，XIE Haibo，HU Liang，et al. Effects of groove orientation on transmission characteristics of hydro-viscous film in the parallel-disk system[J]. Proceedings of the Institution of Mechanical Engineers，Part J：Journal of Engineering Tribology，2019，234(2)：183-192.
[6] CUI Hongwei，LIAN Zisheng，LI Long，et al. Analysis of influencing factors on oil film shear torque of hydro-viscous drive[J]. Industrial Lubrication and Tribology，2018，70(7)：1169-1175.
[7] CHEN Man，ZHANG Bin，FENG Yuqing，et al. Numerical and experimental studies of the attenuation characteristics of friction torque in a wet multidisc clutch[J]. Applied Sciences，2021，11(2)：814.
[8] MENG Qingrui. Effect of starting time on hydro-viscous drive speed regulating start[J]. Industrial Lubrication and Tribology，2015，67(4)：320-327.
[9] XIE Fangwei，WU Diancheng，TONG Yaowen，et al. Effects of structural parameters of oil groove on transmission characteristics of hydro-viscous clutch based on viscosity-temperature property of oil film[J]. Industrial Lubrication and Tribology，2017，69(5)：690-700.
[10] MENG Qingrui，HOU Youfu. A fuzzy PID cascade control system of a hydro-viscous drive speed regulating start[C]// 2011 Third International Conference on Measuring Technology and Mechatronics Automation. January 6-7，2011，Piscataway，United States：IEEE，2011：52-57.
[11] MENG Qingrui，WANG Kai，WANG Daoming，et al. Study on RBF neural network PID control for hydro-viscous drive system[C]// Applied Mechanics and Materials. December 2013，Switzerland：Trans Tech Publications，Ltd，2014：668-672.
[12] SUN Chenchen，GONG Guofang，WANG Fei，et al. Single neuron adaptive PID control for hydro-viscous drive clutch[C]// 201612th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). October 29-31，2016，Piscataway，United States：IEEE，2016：1-4.
[13] GU Guoying，ZHU Limin，SU Chunyi，et al. Modeling and compensation of asymmetric hysteresis nonlinearity for piezoceramic actuators with a modified Prandtl-Ishlinskii model[J]. IEEE Transactions on Industrial Electronics，2013，61(3)：1583-1595.
[14] XIE Shenglong，LIU Haitao，MEI Jiangping，et al. Modeling and compensation of asymmetric hysteresis for pneumatic artificial muscles with a modified generalized Prandtl-Ishlinskii model[J]. Mechatronics：The Science of Intelligent Machines，2018，52：45-57.
[15] VO-MINH T ，TJAHJOWIDODO T ，RAMON H ，et al. A new approach to modeling hysteresis in a pneumatic artificial muscle using the maxwell-slip model[J]. IEEE/ASME Transactions on Mechatronics，2011，16(1)：177-186.
[16] 秦岩丁，徐圆凯，韩建达. 气动人工肌肉驱动的肘关节辅助机器人迟滞补偿[J]. 机器人，2021，43(4)：453-462. QIN Yanding，XU Yuankai，HAN Jianda. Hysteresis compensation of pneumatic artificial muscle actuated assistive robot for the elbow joint[J]. Robot，2021，43(4)：453-362.
[17] SUN Lining，RU Changhai ，RONG Weibin，et al. Tracking control of piezoelectric actuator based on a new mathematical model[J]. Journal of Micromechanics and Microengineering，2004，14(11)：1439.
[18] XIE Shenglong，REN Guoying，WANG Binrui. A modified asymmetric generalized Prandtl-Ishlinskii model for characterizing the irregular asymmetric hysteresis of self-made pneumatic muscle actuators[J]. Mechanism and Machine Theory，2020，149：103836.
[19] 韩京清. 自抗扰控制技术[M]. 北京：国防工业出版社，2008. HAN Jingqing. Active disturbance rejection control technique[M]. Beijing：National Defense Industry Press，2008.
[20] ZHANG Yangming，XUE Lingyun，LUO Biao. A nonlinear observer-based adaptive robust control approach for a class of uncertain asymmetric hysteretic systems[J]. Proceedings of the Institution of Mechanical Engineers，Part I：Journal of Systems and Control Engineering，2021，235(3)：347-354.
[21] LI Rui，CAO Kairui，YU Xinghu，et al. Modeling and compensation algorithms of asymmetric nonlinearity for piezoelectric actuators based on Madelung’s rules[J]. IEEE Transactions on Industrial Electronics，2020，68(11)：11359-11368.

基于非线性逆迟滞模型的液粘智能调速控制方法

Hydraulic Viscous Intelligent Speed Control Method Based on Nonlinear Inverse Hysteresis Model

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