Abstract
The precise control of the cooperative operation for dual-manipulator system has high requirements for the dynamic controller. In this paper, the cooperative control method of dual-manipulator system with unknown dynamic parameters and time-varying task space constraints is studied. Firstly, the dynamic model of manipulator in the task space coordinate system is established. Then, the radial basis function (RBF) neural networks are employed to construct the dynamic controller of dual-manipulator system with unknown model parameters for cooperative operation under relative trajectory constraints in task space. The simulation results verify the effectiveness of the controller.
Supported by organization Midea Group.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Li, Y., Yang, G., Wu, W., Chen, W. (2023). Cooperative Control of Dual-Manipulator System with Unknown Dynamic Parameters. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14273. Springer, Singapore. https://doi.org/10.1007/978-981-99-6498-7_38
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DOI: https://doi.org/10.1007/978-981-99-6498-7_38
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