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Kinematic control of wheeled mobile manipulators subject to inherent physical constraints and noise disturbances

机译:轮式移动操纵器的运动控制,经受固有的物理限制和噪声干扰

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This paper focuses on the kinematic control of wheeled mobile manipulator with physical limits and external noise disturbances. Based on the quadratic program, a hybrid multi-objective control (HMOC) scheme incorporating path following and physical constraints' compliance is proposed, where the path following task is formulated as an equality constraint. With the velocity escape method, physical limits are incorporated and totally described as an inequality constraint. An integration-enhanced state feedback strategy considering derivation between the robot's real position and the desired position is designed with an aim at achieving anti-noise capability for HMOC scheme, which is shown to improve the tracking performance of the robot in following the desired trajectory under noise disturbances. Lagrangian-based controller is constructed as an online solver of the resultant HMOC scheme to output and update control variables iteratively. With numerical simulation, efficiency of the HMOC scheme and Lagrangian-based controller are validated.
机译:本文重点介绍了具有物理限制和外部噪声干扰的轮式移动操纵器的运动控制。基于二次程序,提出了一种混合多目标控制(HMOC)方案,包括跟踪和物理约束的顺应性,其中跟踪任务之后的路径被制定为平等约束。利用速度逃逸方法,物理限制并完全被描述为不等式约束。考虑机器人的真实位置和所需位置之间的导出的积分增强的状态反馈策略是针对HMOC方案实现抗噪声能力的目的,这被示出了在遵循所需的轨迹之后提高机器人的跟踪性能噪音干扰。拉格朗日的控制器被构造为所得HMOC方案的在线求解器,以迭代地输出和更新控制变量。利用数值模拟,验证了HMOC方案和基于拉格朗日的控制器的效率。

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