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Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology

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Abstract

This paper addresses the obstacle avoidance problem of formation control for the multi-agent systems modeled by double integrator dynamics under a directed interconnection topology. The control task is finished by a leader-follower formation scheme combined with an artificial potential field (APF) method. The leader-follower scheme is carried out by taking the desired trajectory with the desired velocity as virtual leader, while the APF method is carried out by dealing with the obstacles as the high potential points. When the obstacle avoidance tasks are finished, the artificial potential forces degrade the formation performance, so their undesired effects are treated as disturbances, which is analyzed by the robust H∞ performance. Based on Lyapunov stability theory, it is proved that the proposed formation approach can realize the control objective. The result is also extended to the switching multi-agent formation. The effectiveness of the proposed formation scheme is further confirmed by simulation studies.

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Acknowledgements

This work was supported in part by Shandong Provincial Natural Science Foundation (Grant Nos. ZR2018MF015, ZR2018MF023), in part by National Natural Science Foundation of China (Grant Nos. 61751202, 61572540), in part by Doctoral Scientific Research Staring Fund of Binzhou University (Grant No. 2016Y14). We would like to thank the mobility program of Shandong University of Science and Technology for the support in the work.

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Authors and Affiliations

  1. College of Science, Binzhou University, Binzhou, 256600, China

    Guoxing Wen, Hui Dou & Chunfang Liu

  2. Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, 999078, China

    Guoxing Wen & C. L. Philip Chen

  3. Mathematics and Systems Science College, Shandong University of Science and Technology, Qingdao, 266590, China

    Hongli Yang

  4. College of Navigation, Dalian Maritime University, Dalian, 116026, China

    C. L. Philip Chen

  5. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China

    C. L. Philip Chen

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  1. Guoxing Wen
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  2. C. L. Philip Chen
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  3. Hui Dou
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  5. Chunfang Liu
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Correspondence to Guoxing Wen.

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Wen, G., Chen, C.L.P., Dou, H. et al. Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology. Sci. China Inf. Sci. 62, 192205 (2019). https://doi.org/10.1007/s11432-018-9759-9

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  • DOI: https://doi.org/10.1007/s11432-018-9759-9

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