An Online Self Gain Tuning Computed Torque Controller for A Five-Bar Manipulator

作者: Tien Dung Le , Hee-Jun Kang , Young-Soo Suh

DOI: 10.1007/978-3-642-24728-6_73

关键词:

摘要: Parallel manipulators have advantages like high accuracy, stiffness, payload capability, low moving inertia, and so on. This paper presents the problems of control five-bar using computed torque method. In order to improve performance, an online self gain tuning method neural networks is proposed for controller. Simulation results show effectiveness in comparison with traditional

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