首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >Modeling and compensation of asymmetric hysteresis for pneumatic artificial muscles with a modified generalized Prandtl-Ishlinskii model
【24h】

Modeling and compensation of asymmetric hysteresis for pneumatic artificial muscles with a modified generalized Prandtl-Ishlinskii model

机译:改进的广义普兰德利斯基模型模型及气动人工肌肉不对称滞后的建模与补偿

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a modified generalized Prandtl-Ishlinskii (MGPI) model for the asymmetric hysteresis characterization of pneumatic artificial muscles (PAMs), which can be considered as a cascade of the superposition of weighted generalized play operators and the superposition of weighted dead-zone operators. Compared with the established hysteresis models, the significance of the MGPI model is that it has a simple expression including a small number of parameters to be identified. Besides, the analytical form of its inverse model is easy to be obtained, which can be applied to the compensation of asymmetric hysteresis of the PAM in real-time. The wiping-out and congruency properties of the proposed model are verified by simulations. Meanwhile, by carrying out the experimental study on length-pressure hysteresis of a PAM, the parameters in the MGPI model are identified from measured data using the Levenberg-Marquardt method. Then, a feedforward hysteresis compensator based on the inverse MGPI model is designed for trajectory tracking control of the PAM. The simulation and experimental results indicate that the proposed model and its inversion are effective to characterize and compensate the length-pressure hysteresis of the PAM.
机译:本文介绍了一种修改的通用Prandtl-Ishlinski(MgPI)模型,用于气动人工肌肉(PAMS)的不对称滞后表征,其可以被认为是加权广义播放操作员的叠加的级联和加权死区运算符的叠加。与既定的滞后模型相比,MGPI模型的重要性是它具有简单的表达式,包括要识别的少量参数。此外,易于获得其逆模型的分析形式,其可以应用于实时拟PAM的不对称滞后的补偿。通过模拟验证所提出模型的擦除和一致性。同时,通过对PAM的长度 - 压力滞后进行实验研究,使用Levenberg-Marquardt方法从测量数据识别MGPI模型中的参数。然后,基于逆MGPI模型的前馈滞后补偿器设计用于PAM的轨迹跟踪控制。模拟和实验结果表明,所提出的模型及其反演是有效的,表征和补偿帕姆的长度压力滞后。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号