Experimental Fuzzy Control for Tower Crane

Các tác giả

  • Van Dong Hai Nguyen Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam
  • Vi Do Tran Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam
  • Minh Tam Nguyen Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam
  • Van Phong Vu Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam
  • Van Thuyen Ngo Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam
  • Thien Van Nguyen Academy of Science and Technology, Hanoi, Vietnam

Email tác giả liên hệ:

hainvd@hcmute.edu.vn

DOI:

https://doi.org/10.54644/jte.68.2022.1121

Từ khóa:

Tower crane, Fuzzy control, Intelligent control, Experimental platform, Anti-sway

Tóm tắt

Tower crane is a popular model in industry. It helps to move constructing material from lower place to higher place and vice versa. Due to its importance in real application, educational experimental models are necessary to be built in laboratory for researching and training students. In this paper, an experimental platform of tower crane system is presented for testing algorithms. For a real model with un-known system parameters and MIMO under-actuated structure, intelligent control is a suitable selection. Fuzzy control is a primary algorithm in training intelligent control for students. Thence, an 81-rule fuzzy controller is designed and used to control position and anti-sway for this model. This idea is inspired from fuzzy control for SIMO system, such as inverted pendulum. Our controller gives good results under kinds of external effects. The quality of controlling is proved to be better under fuzzy controller than under no-control. Therefore, survey in this paper can be used to train students in fuzzy control structure for MIMO under-actuated system. 

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Tiểu sử của Tác giả

Van Dong Hai Nguyen, Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam

Nguyen Van Dong Hai currently works at the Faculty of Electrical and Electronic, University of Technology and Education Ho Chi Minh. He received the B.S. degree in automation and control engineering from Ho Chi Minh University of Technology, Vietnam in 2009; the M.S. degree in automation and control engineering from Ho Chi Minh University of Technology, Vietnam in 2011, and the Ph.D. degree in automation and control engineering from University of Craiova, Rumani in 2018. Since 2012, he has been a lecturer at Ho Chi Minh City University of Education and Technology, Vietnam. His research interests are fuzzy systems, intelligent control, observer and controller design for uncertain system.

Vi Do Tran, Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam

Tran Vi Do received the Master degree in Electrical Engineering from the HCM University of Technology and Education, Vietnam, in 2015. He received the PhD in BioRobotics at the BioRobotics Institute, Scuola Superiore Sant’Anna in Pisa, Italy in 2018. His research interests are in the fields of rehabilitation robotics, assistive technologies and human-robot interaction. From December 2018 until now, he work as a lecturer at the HCM University of Technology and Education, Vietnam.

Minh Tam Nguyen, Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam

Nguyen Minh Tam was born in Ben Tre province, Vietnam. He received the Ph.D. degree in Engineering Science from the University of Technology, Sydney, Australia in 2010. His research interests include system modeling, intelligent and robust control, soft-computing, and power system control.

 

Van Phong Vu, Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam

Vu Van Phong currently works at the Faculty of Electrical and Electronic, University of Technology and Education Ho Chi Minh. He received the B.S. degree in electrical engineering from Ha Noi University of Sciences and Technology, Vietnam in 2007; the M.S. degree in electrical engineering from Southern Taiwan University of Sciences and Technology in 2010, and the Ph.D. degree in electrical engineering from National Central University, Taiwan in 2017. Since 2012, he has been a lecturer at Ho Chi Minh City University of Education and Technology, Vietnam. He is a postdoc in electrical engineering at National Central University from Nov-2017 to July-2018. His research interests are fuzzy systems, intelligent control, observer and controller design for uncertain system.

Van Thuyen Ngo, Trường Đại học Sư phạm Kỹ thuật Tp.Hồ Chí Minh, Việt Nam

Ngo Van Thuyen currently works at University of Technology and Education Ho Chi Minh as Chairman of the board . He received the Ph.D. degree in automation and control engineering from University of Technology Sydney (UTS), Australia in 2008. He was recognized as an Associate Professor by the State Council for Professorship in 2018. His research interests are fuzzy systems, intelligent control, observer and controller design for uncertain system, automation in industrial, SCADA.

Thien Van Nguyen, Academy of Science and Technology, Hanoi, Vietnam

Nguyen Thien Van currently works at Academy of Science and Technology in Vietnam. He received Bachelor of Science, and Master degree in Mechanical engineering from Le Quy Don Technical University. Then, he earned degree of doctor in the field Mechanical engineering from Politechnica University of Bucharest, Romania in 2018. His research interests are: Kinematics and Dynamics of system of rigid bodies, methods of control.

Tài liệu tham khảo

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Tzu-Sung Wu, Masour Karkoub, Wen-Shyong Yu, Chien-Ting Chen, Ming-Guo Her, Kuan-Wei Wu, Anti-sway tracking control of tower cranes with delayed uncertainty using a robust adaptive fuzzy control, Fuzzy Sets and Systems 290, pp.118-137, 2016. DOI: https://doi.org/10.1016/j.fss.2015.01.010

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Huỳnh Thái Hoàng, Hệ thống điều khiển thông minh, Nhà xuất bản Đại học quốc gia TPHCM.

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Tải xuống

Đã Xuất bản

2022-02-28

Cách trích dẫn

[1]
V. D. H. Nguyen, V. D. Tran, M. T. Nguyen, V. P. Vu, V. T. Ngo, và T. V. Nguyen, “Experimental Fuzzy Control for Tower Crane”, JTE, vol 17, số p.h 1, tr 36–47, tháng 2 2022.

Số

T. 17 S. 1 (2022)

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