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OPTIMAL CONTROL OF FLEXIBLE SPACE ROBOTS USING DIRECT COLLOCATION METHOD AND NONLINEAR PROGRAMMING

机译:直接集法和非线性规划的柔性空间机器人最优控制

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In this paper, the problem of optimal control of flexible space robots is considered and an efficient approach is proposed for solving it. The space robots are considered as mechanical manipulators having rigid and flexible links. The main duty of these robots is to translate a payload mass between two specified points. To derive dynamic model of these manipulators, their flexible links are assumed as a set of rigid links connected together. By adding strain potential energy to Lagrange equations, the flexible behaviour of flexible links is modeled with good accuracy. In present paper, the problem of optimal control of space robots is defined based on minimum time and minimum joint torque (minimum control effort) objective functions. Direct collocation method is used to solve these problems. This method converts the optimal control problem to a standard nonlinear programming problem. The proposed approach in this paper for modeling and solving optimal control problems of flexible robots can lead to optimal solution without any simplifications such as linearization and decoupling of state equations. This approach can be used for solving various optimal control problems in the fields of robotics and biomechanics.
机译:针对柔性空间机器人的最优控制问题,提出了一种有效的解决方案。太空机器人被认为是具有刚性和柔性连杆的机械操纵器。这些机器人的主要职责是在两个指定点之间转换有效载荷质量。为了推导这些机械手的动力学模型,将它们的柔性连杆假定为一组连接在一起的刚性连杆。通过向Lagrange方程添加应变势能,可以对柔性链的柔性行为进行精确建模。在本文中,基于最小时间和最小关节转矩(最小控制力)目标函数定义了空间机器人的最优控制问题。直接配置方法用于解决这些问题。该方法将最优控制问题转换为标准非线性规划问题。本文提出的用于建模和解决柔性机器人最优控制问题的方法可以在不进行任何简化(例如线性化和状态方程解耦)的情况下实现最优解。这种方法可用于解决机器人技术和生物力学领域的各种最佳控制问题。

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