一种用于驰骋机器的实验性铰接腿的智能控制

Luther R. Palmer, D. Orin, D. Marhefka, J. Schmiedeler, K. Waldron
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引用次数: 49

摘要

智能控制器在复杂系统中的应用越来越有效。本文的工作验证了模糊控制这一智能方法在高速奔跑的四足动物单关节腿上的有效性。对智能控制方法与其他控制方法进行了仿真比较,并对OSU DASH(高性能动态铰接结构)腿进行了仿真分析。结果表明,智能控制器优于非学习方法。使用模糊控制,OSU DASH腿在以2.0米/秒的速度移动的跑步机上进行稳定的跳跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent control of an experimental articulated leg for a galloping machine
Intelligent controllers are being used with increasing effectiveness on complex systems. This work verifies the effectiveness of fuzzy control, an intelligent method, on a single, articulated-leg that was designed to be used on a high-speed galloping quadruped. Intelligent methods are compared to other control methods in simulation and on the OSU DASH (Dynamic Articulated Structure for High-performance) leg. It is shown that the intelligent controllers outperform non-learning methods. Using fuzzy control, the OSU DASH leg performs stable hopping on a treadmill moving at 2.0 m/s.
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