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Hybrid Antiwindup-Fuzzy Logic Control for an Underactuated Robot Leg Precision Motion

机译:混合式反饱和模糊逻辑控制,用于欠驱动的机器人腿部精确运动

摘要

Nowadays, numerous ideas has been introduced in developing Bio-inspired robot. Legged robot is the best example of bio-inspired robot. One of the challenging areas in developing these type of robot is control architecture, especially in position control. As the number of legs and its joints is increased, the requirements of robust position control become more demanding as legged robot requires coordination so that it can move in the desired pattern while walking. The demands increases when the legs are in underactuated configuration. This paper presents a hybrid Proportional Integral with antiwindup algorithm and Fuzzy Logic Control (PIA-FLC) as joint position control for underactuated robot leg. The PIA-FLC is experimented on the joints of Hexaquad’s leg and is then compared with that using a PIA controller and a FLC controller. The results show that PIA-FLC performs better than the PIA and FLC controllers as the hybrid controller response faster and is able to follow the reference motion with small overshoot and time delay error.
机译:如今,在开发生物启发型机器人方面引入了许多想法。腿式机器人是受生物启发的机器人的最好例子。开发这类机器人的挑战之一是控制架构,尤其是位置控制。随着腿及其关节数量的增加,对有腿机器人的协调要求使其能够在行走时以所需的模式运动,因此对稳健位置控制的要求变得越来越苛刻。当支腿处于欠驱动状态时,需求增加。本文提出了一种具有反饱和算法和模糊逻辑控制(PIA-FLC)的混合比例积分作为欠驱动机器人腿关节位置控制的方法。 PIA-FLC在Hexaquad腿的关节上进行了实验,然后与使用PIA控制器和FLC控制器的PIA-FLC进行了比较。结果表明,PIA-FLC的性能优于PIA和FLC控制器,因为混合控制器响应速度更快,并且能够以较小的过冲和时延误差跟随参考运动。

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