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Cross-coupling-based fuzzy active disturbance rejection control for dual-path snubbing unit lifting system

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Abstract

The performance of a fuzzy linear active disturbance rejection controller applied within a hydraulic lifting system under different operating conditions is systematically investigated in this study. It is demonstrated through experimental results that the position tracking accuracy and synchronization performance of the lifting system are significantly enhanced by the fuzzy linear active disturbance rejection controller in comparison to conventional PID controllers. Under both light load and heavy-load conditions, the fuzzy linear active disturbance rejection controller substantially reduces the maximum synchronization error and demonstrates higher stability during the lifting maintenance phase. Moreover, when it comes to resisting external disturbances, the controller exhibits superior robustness, effectively reducing both the frequency and magnitude of oscillations. The experiments also highlight that the controller's optimized root-mean-square synchronization error is reduced by 50.5% to 87.5% compared to the pre-optimization values, underscoring its substantial improvement in disturbance rejection performance. Therefore, the study unequivocally establishes that the fuzzy active disturbance rejection controller offers significant performance advantages within hydraulic lifting systems. It maintains a high level of synchronization performance and stability, regardless of load variations or external disturbances, thus presenting a practical and valuable control strategy for pressurized lifting operations.

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Data availability

The models of fuzzy-LADRC used to support the findings of this study are available from the corresponding author upon request. Meanwhile, all data used during the study appear in the submitted article.

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Acknowledgments

This research was financially supported by the National Natural Science Foundation of China (Grant no: 51475001), Research and practice innovation program for Postgraduates in Jiangsu Province (Grant no: SJCX19_1032).

Funding

National Natural Science Foundation of China, Grant Number: 51475001; Research and practice innovation program for Postgraduates in Jiangsu Province: Grant Number: SJCX19_1032.

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Authors and Affiliations

  1. School of Automotive Engineering, Yancheng Institute of Technology, Yancheng, 224051, China

    Haojie Gao, Rui Wang, Jinjiao Zhu, Xin Xiong & Zhisong Wen

  2. Yancheng Jinju Petroleum Machinery Manufacturing Co.,Ltd, Yancheng, 224051, China

    Chengxiang Li

Authors
  1. Haojie Gao
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  2. Rui Wang
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  3. Jinjiao Zhu
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  4. Xin Xiong
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  5. Zhisong Wen
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Contributions

Haijie Gao: Investigation, Data curation, Writing - original draft, Reviewing and Editing. Rui Wang: Writing - Reviewing and Editing. Jinjiao Zhu: Investigation, Data curation. Xin Xiong: Writing - Reviewing and Editing. Zhisong Wen: Data Curation, Supervision. Chengxiang Li: Investigation, Data curation.

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Correspondence to Haojie Gao.

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Haojie Gao states that there is no conflict of interest.

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Gao, H., Wang, R., Zhu, J. et al. Cross-coupling-based fuzzy active disturbance rejection control for dual-path snubbing unit lifting system. Int. J. Dynam. Control (2024). https://doi.org/10.1007/s40435-024-01415-6

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  • DOI: https://doi.org/10.1007/s40435-024-01415-6

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