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Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems

Author

Listed:
  • Raul-Cristian Roman

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, 300223 Timisoara, Romania)

  • Radu-Emil Precup

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, 300223 Timisoara, Romania)

  • Emil M. Petriu

    (School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, Ottawa, ON K1N 6N5, Canada)

  • Florin Dragan

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, 300223 Timisoara, Romania)

Abstract

In this paper a second-order data-driven Active Disturbance Rejection Control (ADRC) is merged with a proportional-derivative Takagi-Sugeno Fuzzy (PDTSF) logic controller, resulting in two new control structures referred to as second-order data-driven Active Disturbance Rejection Control combined with Proportional-Derivative Takagi-Sugeno Fuzzy Control (ADRC–PDTSFC). The data-driven ADRC–PDTSFC structure was compared with a data-driven ADRC structure and the control system structures were validated by real-time experiments on a nonlinear Multi Input-Multi Output tower crane system (TCS) laboratory equipment, where the cart position and the arm angular position of TCS were controlled using two Single Input-Single Output control system structures running in parallel. The parameters of the data-driven algorithms were tuned in a model-based way using a metaheuristic algorithm in order to improve the efficiency of energy consumption.

Suggested Citation

  • Raul-Cristian Roman & Radu-Emil Precup & Emil M. Petriu & Florin Dragan, 2019. "Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems," Energies, MDPI, vol. 12(8), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1548-:d:225546
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    References listed on IDEAS

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    1. Ting He & Zhenlong Wu & Rongqi Shi & Donghai Li & Li Sun & Lingmei Wang & Song Zheng, 2019. "Maximum Sensitivity-Constrained Data-Driven Active Disturbance Rejection Control with Application to Airflow Control in Power Plant," Energies, MDPI, vol. 12(2), pages 1-23, January.
    2. Jiang You & Weiyan Fan & Lijun Yu & Bin Fu & Mengyan Liao, 2019. "Disturbance Rejection Control Method of Double-Switch Buck-Boost Converter Using Combined Control Strategy," Energies, MDPI, vol. 12(2), pages 1-15, January.
    3. Xiao Qi & Yan Bai, 2017. "Improved Linear Active Disturbance Rejection Control for Microgrid Frequency Regulation," Energies, MDPI, vol. 10(7), pages 1-20, July.
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