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Designing and application of type-2 fuzzy PID control for overhead crane systems

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Abstract

In this paper, a type-2 fuzzy PID controller is presented to improve position control and damp the oscillation of the load for overhead crane systems. As an extension of traditional fuzzy logic theory, type-2 fuzzy logic theory can effectively improve the control performance especially for internal and external disturbances systems. According to the dynamic and inherent under-actuated characteristics of the overhead crane system, a PID controller that incorporates the type-2 fuzzy logic theory is designed to adjust the parameters dynamically during the control process. By implementing the simulation experiment, the results show that the proposed type-2 fuzzy PID control has significantly improved the suppression of load swing and position control.

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Acknowledgements

This work is supported by the Natural Science Foundation of China (no. 61672299, no. 61972208, no. 61602259, no. 61701251, nos. 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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  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, Organization Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Zhe Sun, Yawen Ling, Xin Tan & Zhixin Sun

  2. YuanTong Express Co. LTD., Shanghai, 201705, China

    Yang Zhou

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  1. Zhe Sun
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  2. Yawen Ling
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  3. Xin Tan
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  4. Yang Zhou
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  5. Zhixin Sun
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Correspondence to Zhixin Sun.

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Sun, Z., Ling, Y., Tan, X. et al. Designing and application of type-2 fuzzy PID control for overhead crane systems. Int J Intell Robot Appl 5, 10–22 (2021). https://doi.org/10.1007/s41315-020-00157-w

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