磁流变离合器非线性迟滞特性试验与建模  

Experiment and modeling of nonlinear hysteresis property of MR clutch

作　　者：王书友 肖鹿 陈飞[1] 孟德远[1,2] 田祖织 李艾民[1] 吴向凡[3] WANG Shuyou;XIAO Lu;CHEN Fei;MENG Deyuan;TIAN Zuzhi;LI Aimin;WU Xiangfan(School of Mechatronic Engineering,China University of Mining&Technology,Xuzhou 221116,China;Jiangsu Provincial Key Laboratory of Advanced Manufacture and Process for Marine Mechanical Equipment,Jiangsu University of Science and Technology,Zhenjiang 212003,China;School of Mechanical and Electrical Engineering,Xuzhou University of Technology,Xuzhou 221018,China)

机构地区：[1]中国矿业大学机电工程学院,江苏徐州221116 [2]江苏科技大学江苏省船舶机械装备先进制造与工艺技术重点实验室,江苏镇江212003 [3]徐州工程学院机电工程学院,江苏徐州221018

出　　处：《中南大学学报（自然科学版）》2022年第6期2049-2059,共11页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(51875560,5207427,52005426);江苏省自然科学基金资助项目(BK20190155);江苏省研究生科研与实践创新项目(SJKY19-1829);中国矿业大学研究生科研与实践创新项目(KYCX19-2141);江苏省高校优势学科建设项目。

摘　　要：首先,试验探究磁流变离合器的迟滞特性,得到磁流变离合器转矩−电流迟滞曲线;其次,探讨和分析影响迟滞行为的因素,通过去除多余的描述黏性项与压力项的模型结构,提出一种简化的Bouc-Wen模型来诠释MR离合器的电流−转矩滞回行为;第三,为避免模型参数陷入局部最优解,针对Bouc-Wen模型非线性和不连续性,采用基于柯西变异的改进遗传算法对相关模型参数进行识别;最后,通过试验和数值仿真验证简化Bouc-Wen和所提算法的有效性和准确性。研究结果表明:简化的Bouc-Wen模型精度显著优于Bingham模型精度,各激励电流频率和幅值下的均方根误差远小于Bingham模型的均方根误差。相比传统遗传算法,改进的遗传算法在辨识Bouc-Wen模型参数时具有更高的稳定性及寻求全局最优解的能力。Firstly,the hysteresis characteristics of MR(magnetorhelogic)clutch were investigated by experiment,and the hysteresis curve between torque and current of MR clutch was obtained.Secondly,the factors affecting the hysteresis behavior were discussed and analyzed.A simplified Bouc-Wen model was proposed to interpret the current-torque hysteresis behavior of MR clutch by removing the redundant viscous and pressure terms.Thirdly,in order to avoid the model parameters falling into the local optimal solution,the improved genetic algorithm based on Cauchy variation was used to identify the relevant model parameters of torque and current in view of the nonlinear and discontinuous characteristics of Bouc-Wen model.Finally,the effectiveness and accuracy of the simplified Bouc-Wen and the proposed algorithm were verified by experiment and numerical simulation.The results show that the accuracy of the simplified Bouc-Wen model is significantly better than that of Bingham model.The root mean square error(RMSE)of each excitation current frequency and amplitude are far less than those of Bingham model.In addition,compared with the traditional genetic algorithm,the improved genetic algorithm has higher stability and the ability to find the global optimal solution when identifying Bouc-Wen model parameters.

关 键 词：磁流变离合器 迟滞建模 BOUC-WEN模型 参数辨识 遗传算法 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]