Abstract
In this paper, a discrete-Time integral sliding mode control algorithm, DISMC in short, is designed for robust control of brain-controlled mobile robot systems. A novel discrete-Time integral sliding manifold with elimination of the reaching phase for sliding mode is employed to track the desired velocities while compensating for the disturbances and uncertainties. Semi-physical simulation results show the effectiveness and robustness of the proposed DISMC. It is also shown that the proposed controller can achieve better tracking performance compared to the PID control under different disturbance conditions.
Original language | English |
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Title of host publication | 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 239-244 |
Number of pages | 6 |
ISBN (Electronic) | 9781728172927 |
DOIs | |
Publication status | Published - 28 Sept 2020 |
Event | 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 - Virtual, Asahikawa, Hokkaido, Japan Duration: 28 Sept 2020 → 29 Sept 2020 |
Publication series
Name | 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 |
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Conference
Conference | 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 |
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Country/Territory | Japan |
City | Virtual, Asahikawa, Hokkaido |
Period | 28/09/20 → 29/09/20 |
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Li, H., & Bi, L. (2020). Discrete-Time Integral Sliding Mode Control for Brain-Controlled Mobile Robots. In 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 (pp. 239-244). Article 9303295 (2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RCAR49640.2020.9303295