Force/Position Hybrid Control of Multi-manipulator Based on Fuzzy Adaptive Sliding Mode Algorithm
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This work is supported by National Natural Science Foundation of China (61973167), School Level Scientific Research Project of Yancheng Institute of Technology (xjr2020041), Jiangsu Province Industry-University-Research Cooperation Project (BY2022495), and Cooperative Education Project of the Ministry of Education (22097110113736)

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    Abstract:

    Subject to the friction and other uncertain factors, the multi-manipulator force & position hybrid controlling method is still a challenging issue. To investigate this problem, this paper proposes a hybrid control method based on fuzzy adaptive robust sliding mode algorithm. Firstly, the multi-manipulator system model is constructed with consideration of both multi-manipulator and the object dynamics equations. Secondly, the fuzzy algorithm is combined with the adaptive sliding mode algorithm to compensate for uncertain factors and unknown nonlinear terms, so as to improve the system reliability. Simulation results showed that, both controlling accuracy and responding time of the system can be improved by the proposed method.

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ZHU Zhihao, LI Wei, GAO Zhi, et al. Force/Position Hybrid Control of Multi-manipulator Based on Fuzzy Adaptive Sliding Mode Algorithm[J]. Journal of Integration Technology,2023,12(3):72-81

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  • Received:
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  • Online: May 11,2023
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