Abstract
A compound control algorithm is supposed to a robot joint actuated by McKibben muscles, which combines both CMAC control and PID control. The CMAC feedforward compensator realizes the joint system’s dynamic model. The PID controller realizes the feedback control in order to guarantee the system’s stability. The compound controller’s output takes control of the system’s actions. By the CMAC learning process, the PID output tends to zero, and the final controlled action is directed by the CMAC controller. Digital simulation results prove that this compound control algorithm has the very high tracking capacity, interference immunity, and quick system response.
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Chou CP (1996) Study of human motion control with a physiology-based robotic arm and spinal-level neural controller. Doctoral dissertation, Washington University
Zhao H, Sugisaka M (2008) A model of the McKibben muscle actuator based on experiments. Syst Sci 34(2):83–88
Tondu B, Lopez P (2000) Modeling and control of Mckibben artificial muscle robot actuators. IEEE Control System Magazine 20(2):15–38
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This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009
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Zhao, H., Sugisaka, M., Cui, L. et al. Research on the intelligent control algorithm for a robot joint actuated by McKibben muscles. Artif Life Robotics 14, 85–88 (2009). https://doi.org/10.1007/s10015-009-0634-9
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DOI: https://doi.org/10.1007/s10015-009-0634-9