摘要
为克服麦克斯韦磁阻驱动器材料内部磁场强度与磁感应强度之间强烈的磁滞非线性以及大气隙下漏磁增加等因素引发的驱动器控制电压与输出位移之间的磁滞特性,提出一种率相关改进型Prandtl−Ishlinskii(P−I)模型对磁阻驱动器的磁滞特性进行建模.分析磁阻驱动器结构及其磁路和磁力模型,同时搭建基于柔性机构的磁阻驱动微定位平台试验系统,验证磁滞模型.为克服驱动器磁滞非线性,优化改进传统P−I模型,使其具有描述非对称率相关磁滞特性的能力,并利用粒子群算法完成参数辨识.通过对比试验验证所建模型对于磁阻驱动器磁滞非线性的描述能力.结果表明,不同频率输入信号下率相关P−I模型输出与实际输出之间的均方根误差均小于0.0049 mm,仅为整体行程的0.245%,证明了该模型的有效性和高精度.
In order to overcome the strong hysteresis nonlinearity between the internal magnetic field strength and magnetic induction strength of Maxwell reluctance actuator materials and the hysteresis between the actuator control voltage and output displacement caused by the increase of magnetic leakage under the long air gap,a rate-dependent improved Prandtl−Ishlinskii(P−I)model was proposed to model the hysteresis characteristics of reluctance actuator.The structure,magnetic circuit and magnetic force model of reluctance actuator were analyzed,and the experimental system of reluctance actuator micropositioning stage based on flexible mechanism was built for the verification of hysteresis model.In order to overcome the hysteresis nonlinearity of the actuator,the traditional P−I model was optimized and improved to make it have the ability to describe the asymmetric rate-dependent hysteresis characteristics,and the particle swarm optimization algorithm was used to complete the parameter identification.The comparative experiment was used to verify the ability of the rate-dependent P−I model to describe the hysteresis nonlinearity of the reluctance actuator.The results show that the root mean square error between the output of rate-dependent P−I model and the actual output under different frequency input signals is less than 0.0049 mm,which is only 0.245%of the overall stroke,and the effectiveness and high precision of the model are proved.
作者
张旭
赖磊捷
ZHANG Xu;LAI Leijie(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《上海工程技术大学学报》
CAS
2023年第1期27-33,共7页
Journal of Shanghai University of Engineering Science
基金
国家自然科学基金项目资助(51605275)
上海市自然科学基金项目资助(21ZR1426000)。
