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An Adaptive DE Algorithm Based Fuzzy Logic Anti-swing Controller for Overhead Crane Systems

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Abstract

In this paper, aiming at the under-actuated problem of the overhead crane systems, a fuzzy logic anti-swing controller is first designed according to operator experience. Moreover, for better configuring the parameters of the controller, an adaptive differential evolution with disturbance factor algorithm (ADE-D) is proposed by introducing the adaptive scaling factor, the dynamic crossover probability and disturbance factor. By implementing numeric experiment test, the results show that the adaptive differential evolution with disturbance factor algorithm outperforms the standard differential evolution algorithm and other improved differential evolution algorithms. Finally, the adaptive differential evolution with disturbance factor algorithm-based fuzzy logic anti-swing controller is simulated under different conditions and compared with other control methods; the results exhibit excellent robustness of control performance in positioning control and damping oscillation of payload.

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Acknowledgements

This work is supported by the Natural Science Foundation of China (No. 61672299, No. 61972208,No. 61602259, No. 61701251, No. 61803213 and 61972211), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 18KJB520035, No. 18KJB510016) and National Engineering Laboratory for Logistics Information Technology, YuanTong Express Co. LTD.

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Authors and Affiliations

  1. Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology), Post Big Data Technology and Application Engineering Research Center of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Zhe Sun, Yawen Ling, Hongbo Qu & Zhixin Sun

  2. YuanTong Express, Shanghai, 201705, China

    Feng Xiang

  3. Computer Science Department, Tuskegee University, Tuskegee, AL, 36088, USA

    Fan Wu

Authors
  1. Zhe Sun
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  2. Yawen Ling
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  3. Hongbo Qu
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  4. Feng Xiang
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  5. Zhixin Sun
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  6. Fan Wu
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Correspondence to Zhixin Sun.

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Sun, Z., Ling, Y., Qu, H. et al. An Adaptive DE Algorithm Based Fuzzy Logic Anti-swing Controller for Overhead Crane Systems. Int. J. Fuzzy Syst. 22, 1905–1921 (2020). https://doi.org/10.1007/s40815-020-00883-0

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