Design Decoupling Control and Wavelet Type-2 Fuzzy Brain Imitated Neural Network (WT2FBINN) for rotational actuator (TORA) System

Các tác giả

  • Duc-Hung Pham Hung Yen University of Technology and Education, Vietnam
  • Van Phong Vu HCMC University of Technology and Education (HCMUTE), Vietnam

Email tác giả liên hệ:

phongvv@hcmute.edu.vn

DOI:

https://doi.org/10.54644/jte.78A.2023.1358

Từ khóa:

Wavelet type-2 fuzzy system, Brain imitated neural network, TORA systems, Decoupling control

Tóm tắt

In this article, a new wavelet type-2 fuzzy brain imitated neural network (WT2FBINN) is presented for nonlinear system decoupling control. A sliding mode control combined with a decoupling control is illustrated. The control system comprises of a proposed WT2FBINN and a robust controller. The WT2FBINN is used as the main controller to approach an ideal controller to achieve desired control performance, and the robust controller is used to eliminate the approximation error to achieve system stability. The WT2FBINN contains a wavelet type-2 fuzzy system and a brain imitated neural network. The parameters of the proposed WT2FBINN can be updated by the gradient descent method. Then, the WIT2FBINN is applied to control underactuated systems, such as a rotational actuator (TORA) system. Finally, simulation results have validated the effectiveness of the proposed control approach. A comparison to a recently developed method is useful for better illustrating the benefits of the proposed method.

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Tiểu sử của Tác giả

Duc-Hung Pham, Hung Yen University of Technology and Education, Vietnam

Pham Duc Hung was born in Hung Yen Province, Vietnam, in 1983. He received the B.S. degree in Automatic Control from Hanoi University of Science and Technology, Vietnam, in 2006, the M.S. degree in Automation from Hanoi University of Science and Technology, Vietnam, in 2011, and he received Ph.D. degree in the Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan, in 2022. He is also a Lecturer with Faculty Electrical and Electronic, Hung Yen University of technical and education, Vietnam. His research interests include fuzzy logic control, neural network, cerebellar model articulation controller, brain emotional learning-based intelligent controller, fault tolerant control, secure communication. Email: duchung.pham@utehy.edu.vn

Van Phong Vu, HCMC University of Technology and Education (HCMUTE), Vietnam

Vu Van Phong received the B.S. degree in the Department of Automatic Control from Hanoi University of Sciences and Technology, Hanoi, Vietnam in 2007; and M.S. degree in the Department of Electrical Engineering from Southern Taiwan University of Sciences and Technology, Tainan, Taiwan in 2010. Moreover, he received the Ph.D. degree in the Department of Electrical Engineering from National Central University, Zhongli, Taiwan, in 2017. Dr. Vu is currently a Lecturer with the Ho Chi Minh City University of Education and Technology, Ho Chi Minh City. His research interests include the fuzzy system, intelligent control, observer and controller design for the uncertain system, polynomial system, fault estimation, and large-scale system. Email: phongvv@hcmute.edu.vn

Tài liệu tham khảo

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D. -H. Pham, C. -M. Lin, V. N. Giap, T. -T. Huynh and H. -Y. Cho, "Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization," in IEEE Access, vol. 10, pp. 104313-104327, 2022. DOI: https://doi.org/10.1109/ACCESS.2022.3210260

C.-M. Lin, D.-H. Pham, and T.-T. Huynh, “Synchronization of chaotic system using a brain-imitated neural network controller and its applications for secure communications,” IEEE Access, vol. 9, pp. 75923-75944, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3080696

C. -M. Lin, D. -H. Pham and T. -T. Huynh, "Encryption and Decryption of Audio Signal and Image Secure Communications Using Chaotic System Synchronization Control by TSK Fuzzy Brain Emotional Learning Controllers," IEEE Transactions on Cybernetics, vol. 52, no. 12, pp. 13684-13698, 2022. DOI: https://doi.org/10.1109/TCYB.2021.3134245

T. -T. Huynh, D. -H. Pham and N. T. Son, "A Brain Emotional Fuzzy CMAC for Chaos Synchronization and Communication," 2022 6th International Conference on Green Technology and Sustainable Development (GTSD), Nha Trang City, Vietnam, pp. 131-134, 2022. doi: 10.1109/GTSD54989.2022.9989169. DOI: https://doi.org/10.1109/GTSD54989.2022.9989169

T. -T. Huynh, D. -H. Pham and N. T. Son, "Image Secure Communication Using BELC-CMAC and Chaos Synchronization," 2022 6th International Conference on Green Technology and Sustainable Development (GTSD), Nha Trang City, Vietnam, 2022, pp. 135-139, doi: 10.1109/GTSD54989.2022.9988766. DOI: https://doi.org/10.1109/GTSD54989.2022.9988766

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Tải xuống

Đã Xuất bản

2023-08-28

Cách trích dẫn

[1]
D.-H. . Pham và V. P. Vu, “Design Decoupling Control and Wavelet Type-2 Fuzzy Brain Imitated Neural Network (WT2FBINN) for rotational actuator (TORA) System”, JTE, vol 18, số p.h Special Issue 03, tr 52–62, tháng 8 2023.

Số

T. 18 S. Special Issue 03 (2023)

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