首页> 外文OA文献 >An inverse Prandtl–Ishlinskii model based decoupling control methodology for a 3-DOF flexure-based mechanism
【2h】

An inverse Prandtl–Ishlinskii model based decoupling control methodology for a 3-DOF flexure-based mechanism

机译:基于逆Prandtl–Ishlinskii模型的三自由度基于挠度的机制的解耦控制方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A modified Prandtl–Ishlinskii (P–I) hysteresis model is developed to form the feedforward controller for a 3-DOF flexure-based mechanism. To improve the control accuracy of the P–I hysteresis model, a hybrid structure that includes backlash operators, dead-zone operators and a cubic polynomial function is proposed. Both the rate-dependent hysteresis modeling and adaptive dead-zone thresholds selection method are investigated. System identification was used to obtain the parameters of the newly-developed hysteresis model. Closed-loop control was added to reduce the influence from external disturbances such as vibration and noise, leading to a combined feedforward/feedback control strategy. The cross-axis coupling motion of the 3-DOF flexure-based mechanism has been explored using the established controller. Accordingly, a decoupling feedforward/feedback controller is proposed and implemented to compensate the coupled motion of the moving platform. Experimental tests are reported to examine the tracking capability of the whole system and features of the controller. It is demonstrated that the proposed decoupling control methodology can distinctly reduce the coupling motion of the moving platform and thus improve the positioning accuracy and trajectory tracking capability.\ud
机译:修改后的Prandtl–Ishlinskii(P–I)磁滞模型得以开发,从而形成了基于3-DOF挠曲机构的前馈控制器。为了提高PI滞后模型的控制精度,提出了一种包含反冲算子,死区算子和三次多项式函数的混合结构。研究了速率相关的磁滞模型和自适应死区阈值选择方法。系统识别用于获得新开发的磁滞模型的参数。添加了闭环控制以减少来自外部干扰(例如振动和噪声)的影响,从而形成了前馈/反馈组合控制策略。使用建立的控制器,研究了基于3-DOF挠曲机构的横轴耦合运动。因此,提出并实现了去耦前馈/反馈控制器,以补偿移动平台的耦合运动。据报道,进行了实验测试,以检查整个系统的跟踪能力和控制器的功能。结果表明,提出的解耦控制方法可以明显降低运动平台的耦合运动,从而提高定位精度和轨迹跟踪能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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