Model predictive control for impact-contact motion of a manipulator

J. de Carufel, D. Necsulescu
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引用次数: 1

Abstract

In this paper we propose to use model predictive control (MPC) for the impact/contact motion control of a robot manipulator. The advantages of MPC when changes occur in the dynamical structure of a controlled system are investigated. The contact model used, derived from contact mechanics, includes a dynamic model of friction exhibiting stick-slip. The nonlinear MPC implementation is demonstrated with simulation results.
机械臂碰撞接触运动的模型预测控制
本文提出将模型预测控制(MPC)应用于机械臂的冲击/接触运动控制。研究了被控系统动态结构发生变化时MPC的优点。所使用的接触模型,源自接触力学,包括一个动态模型的摩擦表现粘滑。通过仿真结果验证了非线性MPC的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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