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首页> 外文期刊>Nonlinear dynamics >Optimal motion planning of non-linear dynamic systems in the presence of obstacles and moving boundaries using SDRE: application on cable-suspended robot
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Optimal motion planning of non-linear dynamic systems in the presence of obstacles and moving boundaries using SDRE: application on cable-suspended robot

机译:使用SDRE的存在障碍物和运动边界的非线性动力系统的最优运动规划:在电缆悬架机器人上的应用

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摘要

In this paper a closed-loop non-linear optimal controller is designed via State Dependent Riccati Equation (SDRE) and employed for a spatial six-cable robot. SDREprovides a systematic and effective design of controller for non-linear systems. The power series approximation method is extended and used to solve SDRE. Trajectory tracking along with point to point movement is carried out. Moreover, two common constraints of optimal path planning, i.e., obstacles and moving boundaries are studied, and proper strategies are proposed to deal with these constraints. Obstacle avoidance technique used in this paper is based on the concept of Artificial Potential Field, while calculus of variations is applied to choose the optimal initial or end points from the moving boundaries. Capabilities of SDRE method provides an outstanding opportunity to be combined with the considered strategies. Simulations for the spatial six-cable robot are done, and Dynamic Load Carrying Capacity is computed to illustrate the efficiency of the employed procedure. Finally the results are validated by experimental tests conducted on ICaSbot which is a spatial six-cable robot manufactured in robotics research laboratory of Iran University of Science and Technology.
机译:本文通过状态依赖里卡蒂方程(SDRE)设计了一种闭环非线性最优控制器,并将其用于空间六缆机器人。 SDRE为非线性系统提供了系统,有效的控制器设计。扩展了幂级数逼近方法,并用于求解SDRE。进行轨迹跟踪以及点对点运动。此外,研究了最佳路径规划的两个常见约束,即障碍和移动边界,并提出了适当的策略来应对这些约束。本文使用的避障技术基于“人工势场”的概念,同时应用变化演算从移动边界中选择最佳的起点或终点。 SDRE方法的功能为与已考虑的策略结合提供了绝佳的机会。对空间六缆机器人进行了仿真,并计算了动态负载能力以说明所采用程序的效率。最后,通过在伊朗科学技术大学的机器人研究实验室制造的ICaSbot(一种六线空间机器人)进行的实验测试验证了结果。

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