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Locomotion control of a hydraulically actuated hexapod robot by robust adaptive fuzzy control and dead-zone compensation

机译:鲁棒自适应模糊控制和死区补偿的液压六足机器人运动控制

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This investigation presents locomotion control of a hydraulically actuated six-legged humanitarian demining robot by robust adaptive fuzzy control in conjunction with the dead zone compensation technique within independent joint control framework. For proper locomotion of the demining robot, accurate tracking of the desired joint trajectory is very important. However, high degree of nonlinearity, the uncertainties due to changing hydraulic properties, and delay due to the flow of oil and dead zone of the proportional electromagnetic control valve results into an inaccurate plant model for the hydraulically actuated robotic joints. Consequently, model-based classical control techniques result into a large tracking error. Therefore, adaptive fuzzy control technique, being a model independent control paradigm for complex and uncertain systems, is a good choice for such systems. In this work, a hydraulic dead zone compensated robust adaptive fuzzy control law has been proposed for locomotion control of hydraulically actuated hexapod demining robot. The experimental results exhibit a fairly accurate trajectory tracking of the leg joints and, consequently, very stable locomotion of the walking robot.
机译:这项研究提出了在独立联合控制框架内,通过鲁棒的自适应模糊控制结合死区补偿技术,对液压驱动的六足人道主义排雷机器人进行运动控制。对于排雷机器人的正确运动,准确跟踪所需的关节轨迹非常重要。但是,高度的非线性,由于液压特性的变化而引起的不确定性,以及由于比例电磁控制阀的油和死区的流动而引起的延迟,导致液压致动机器人关节的设备模型不准确。因此,基于模型的经典控制技术导致较大的跟踪误差。因此,作为模糊和复杂系统的模型独立控制范例的自适应模糊控制技术是此类系统的不错选择。在这项工作中,提出了一种液压死区补偿的鲁棒自适应模糊控制律,用于液压驱动的六脚扫雷机器人的运动控制。实验结果显示了腿关节的轨迹跟踪相当准确,因此,步行机器人的运动非常稳定。

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