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Fuzzy Hybrid Neural Network Control for Uncertainty Nonlinear Systems Based on Enhancement Search Algorithm

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Abstract

This study aims to propose a more efficient control system for uncertain nonlinear systems. A new fuzzy hybrid neural network named as backstepping self-organizing hybrid function-link fuzzy brain emotional learning controller (BSDFFBC) is developed. The proposed hybrid structure is a type of brain-imitated neural network. The BSDFFBC is combined with a backstepping control technique, an enhancement search algorithm (ESA), and a hybrid function-link network (HFLN) to enforce its control ability. Moreover, a self-organizing mechanism is used to automatically adjust the number of neurons that can maintain the BSDFFBC to accommodate large variations in inputs and system uncertainties and can also significantly reduce the computation time. Next, a new genetic algorithm-based ESA is proposed to find the optimal parameters for the control system. Then, the online learning rules of the BSDFFBC are designed using the backstepping control technique and the gradient descent algorithm. Thus, the system structure and control parameters of the control system can be online adjusted to achieve more efficient control performance. Moreover, a robust compensation controller is added to BSDFFBC to improve the control quality of the system. Finally, the proposed BSDFFBC control system is used to control a roll-to-roll system and a magnetic ball levitation system to show its favorable control performance; and the comparisons with other controllers have shown its superiority.

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Acknowledgements

This research was supported by the Ministry of Science and Technology of Taiwan under Grant MOST 109-2811-E-155-504-MY3.

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Authors and Affiliations

  1. Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan

    Hiep-Binh Nguyen, Chih-Min Lin, Tuan-Tu Huynh, Hsing-Yueh Cho & Duc-Hung Pham

  2. Faculty of Electrical and Electronic Engineering, Hung Yen University of Technology and Education, Hai Duong, 160000, Vietnam

    Duc-Hung Pham

  3. Faculty of Mechatronics and Electronics, Lac Hong University, Bien Hoa, 810000, Vietnam

    Tuan-Tu Huynh

  4. Department of Cognitive Science, Xiamen University, Xiamen, China

    Fei Chao

  5. Department of Mechatronics Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, 700000, Vietnam

    Ha Le Nhu Ngoc Thanh

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  1. Hiep-Binh Nguyen
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  4. Hsing-Yueh Cho
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Correspondence to Chih-Min Lin or Tuan-Tu Huynh.

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Nguyen, HB., Lin, CM., Huynh, TT. et al. Fuzzy Hybrid Neural Network Control for Uncertainty Nonlinear Systems Based on Enhancement Search Algorithm. Int. J. Fuzzy Syst. 24, 3384–3402 (2022). https://doi.org/10.1007/s40815-022-01374-0

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  • DOI: https://doi.org/10.1007/s40815-022-01374-0

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