...
首页> 外文期刊>IEEE Transactions on Control Systems Technology >Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators
【24h】

Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators

机译:兼容执行器驱动的机器人机械手的有效PID跟踪控制

获取原文
获取原文并翻译 | 示例
           

摘要

This brief aims to show that a linear proportional-integral-derivative (PID) controller is theoretically valid for tracking control of robotic manipulators driven by compliant actuators. The control problem is formulated into a three-time-scale singular perturbation formula, including a slow time scale at the rigid robot dynamics, one actual fast time scale at the actuator dynamics, and another virtual fast time scale at the controller dynamics. A PID-type controller is derived to guarantee semiglobal practical exponential stability of the rigid robot dynamics, and a derivative-type controller is applied to establish global exponential stability of the actuator dynamics. Based on a state transformation to the closed-loop rigid robot dynamics and the extended Tikhonov's theorem, it is proven that the entire system has semiglobal practical exponential stability under a proper choice of control parameters. The proposed controller is not only structurally simple and model-free resulting in low implementation cost, but also robust against external disturbances and parameter variations. The current design is only valid while the spring stiffness is relatively large compared with other parameters of the robot dynamics. Experimental results based on a single-link compliant robotic manipulator have verified effectiveness of the proposed approach.
机译:本简报旨在表明,线性比例积分微分(PID)控制器在理论上对由顺从执行器驱动的机器人操纵器的跟踪控制有效。控制问题被公式化为一个三时标奇异摄动公式,包括刚性机器人动力学时的慢时标,执行器动力学时的一个实际快时标和控制器动力学时的另一个虚拟快时标。推导PID型控制器以保证刚性机器人动力学的半全局实际指数稳定性,并使用微分型控制器建立执行器动力学的全局指数稳定性。基于对闭环刚性机器人动力学的状态转换和扩展的Tikhonov定理,证明了在适当选择控制参数的情况下,整个系统具有半全局实用指数稳定性。所提出的控制器不仅结构简单且无模型,从而降低了实现成本,而且还具有抵抗外部干扰和参数变化的能力。当前设计仅在弹簧刚度与机器人动力学的其他参数相比相对较大时才有效。基于单链接兼容机械手的实验结果证明了该方法的有效性。

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