Abstract
For the decentralized formation problem of multiple robots, this paper presents a kind of robust sliding mode controller based on nonlinear disturbance observer. According to the leader-follower-based formation mechanism, the dynamic model with external disturbances and system uncertainties is established. To perform a formation control and to guarantee system robustness, a novel formation algorithm combining sliding model control and nonlinear disturbance observer is presented. Sliding mode control (SMC) is a special nonlinear control strategy, which has invariance against the matched uncertainties, but the chattering produced by SMC limits its application to the practical system. By using nonlinear disturbance observer technology, the uncertainties cover both matched and mismatch uncertainties can be compensated. In addition, the SMC control law can be designed successfully so that chattering can be effectively alleviated. In the sense of Lyapunov, a sufficient condition is drawn to guarantee that the formation system can be asymptotically stabilized. Simulation results confirm the effectiveness of the proposed control scheme.
| Original language | English |
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| Title of host publication | Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 775-780 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467384148 |
| DOIs | |
| State | Published - Sep 27 2016 |
| Event | 12th World Congress on Intelligent Control and Automation, WCICA 2016 - Guilin, China Duration: Jun 12 2016 → Jun 15 2016 |
Publication series
| Name | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
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| Volume | 2016-September |
Conference
| Conference | 12th World Congress on Intelligent Control and Automation, WCICA 2016 |
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| Country/Territory | China |
| City | Guilin |
| Period | 06/12/16 → 06/15/16 |
Funding
This work was supported by National Natural Science Foundation of China (61473176), the Natural Science Foundation of Shandong Province for Outstanding Young Talents in Provincial Universities (ZR2015JL021), and the Fundamental Research Funds for the Central Universities under Grant No.2015MS29 at North China Electric Power University