首页> 外文会议>IEEE Conference on Industrial Electronics and Applications;ICIEA 2009 >Design of a regressor-free adaptive impedance controller for flexible-joint electrically-driven robots
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Design of a regressor-free adaptive impedance controller for flexible-joint electrically-driven robots

机译:柔性关节电动机器人的无回归自适应阻抗控制器设计

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To the best of our knowledge, this is the first paper focus on the adaptive impedance control of robot manipulators with consideration of joint flexibility and actuator dynamics. Controller design for this problem is difficult, because each joint of the robot have to be described by a 5th-order cascade differential equation. In this paper, a backstepping-like procedure incorporating the model reference adaptive control strategy is employed to construct the impedance controller. The function approximation technique (FAT) is applied to estimate time-varying uncertainties in the system dynamics. The proposed control law is free from the calculation of the tedious regressor matrix which is a significant simplification in implementation. Closed-loop stability and boundedness of internal signals are proved by the Lyapunov-like analysis with consideration of the function approximation error. Computer simulation results are presented to demonstrate the usefulness of the proposed scheme.
机译:据我们所知,这是第一篇针对机器人操纵器的自适应阻抗控制的论文,其中考虑了关节的柔韧性和执行器动力学。这个问题的控制器设计很困难,因为机器人的每个关节都必须用5次级联微分方程来描述。在本文中,采用结合了模型参考自适应控制策略的类似反步法的程序来构造阻抗控制器。函数逼近技术(FAT)用于估计系统动力学中随时间变化的不确定性。所提出的控制定律不需要繁琐的回归矩阵的计算,这在实现上大为简化。考虑函数逼近误差,通过类Lyapunov分析证明了内部信号的闭环稳定性和有界性。给出了计算机仿真结果以证明所提出的方案的有用性。

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