Experimental Fuzzy Control for Tower Crane

Authors

  • Van Dong Hai Nguyen Ho Chi Minh city University of Technology and Education, Vietnam
  • Vi Do Tran HCMC University of Technology and Education, Vietnam
  • Minh Tam Nguyen HCMC University of Technology and Education, Vietnam
  • Van Phong Vu HCMC University of Technology and Education, Vietnam
  • Van Thuyen Ngo HCMC University of Technology and Education, Vietnam
  • Thien Van Nguyen Academy of Science and Technology, Hanoi, Vietnam

Corressponding author's email:

hainvd@hcmute.edu.vn

DOI:

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

Keywords:

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

Abstract

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. 

Downloads: 0

Download data is not yet available.

Author Biographies

Van Dong Hai Nguyen, Ho Chi Minh city University of Technology and Education, Vietnam

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, HCMC University of Technology and Education, Vietnam

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, HCMC University of Technology and Education, Vietnam

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, HCMC University of Technology and Education, Vietnam

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, HCMC University of Technology and Education, Vietnam

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.

References

Silvère Bonnabel and Xavier Claeys, The industrial Control of Tower Crane: An operator-in-the-Loop Approach, in IEEE Control Systems Magazine, Vol. 40, No. 5, pp. 27-39, Oct. 2020. DOI: https://doi.org/10.1109/MCS.2020.3005256

Tinkir, Mustafa & Onen, Umit & Kalyoncu, Mete & Sahin, Yusuf, Modeling and control of scaled a tower crane system, International Conference on Computer Research and Development, 2011. DOI: https://doi.org/10.1109/ICCRD.2011.5763861

Ahmad Alhassan, Z. Mohamed, Auwalu M. Abdullahi, Amir A. Bature, Ado Haruna, Nura M. Tahir, Input Shaping Techniques for Sway Control of a Rotary Crane System, Journal Teknologi, pp. 61-69, Vol. 80, No. 1, 2018. DOI: https://doi.org/10.11113/jt.v80.10297

P.Petrehuş, Zs.Lendek, P.Raica, Fuzzy modeling and design for a 3D Crane, IFAC Proceedings Volumes, Volume 46, Issue 20, pp. 479-48, 2013. DOI: https://doi.org/10.3182/20130902-3-CN-3020.00058

Liyana Ramli, Izzuddin M. Lazim, H. I. Jaafar and Z. Mohamed, Modelling and Fuzzy Logic Control of an Underactuated Tower Crane System, Applications of Modelling and Simulaton, eISSN: 2600-8084, Vol. 4, pp. 1-11, 2020.

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

Hui sun, Zhi-mei Chen and Wen-jun Meng, Fuzzy sliding mode anti-swing control for tower crane base on time-delayed filter, 24th Chinese Control and Decision Conference (CCDC), pp. 2205-2210, 2012. DOI: https://doi.org/10.1109/CCDC.2012.6244354

Amjed A. Al-Mousa, Control of Rotary Cranes Using Fuzzy Logic and Rime-Delayed Position Feedback Control, Master Thesis in Electrical Engineering, University of Virginia, 2000. DOI: https://doi.org/10.1115/DETC2001/VIB-21598

H.M. Omar, A. H. Nayfeh, Anti-swing control of gantry and Tower Cranes using Fuzzy and Time-delayed Feedback with Friction Compensation, Journal of Shock and Vibration, Vol. 12, pp. 73-89, 2005. DOI: https://doi.org/10.1155/2005/890127

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

Kuwait University, Heuristic fuzzy controller for gantry cranes, US-patent Patent Publication Number: 20180297821. Link: https://patents.justia.com/patent/10202261.

Naif B. Almutairi, Mohamed Zribi, Fuzzy Controllers for a Gantry Crane System with Experimental Verifications, Mathematical Problems in Engineering, Hindawi, Volume 2016, Article ID 1965923, 2016. DOI: https://doi.org/10.1155/2016/1965923

D. Kruk and M. Sulowicz, "AHRS Based Anti-Sway Tower Crane Controller," 2019 20th International Conference on Research and Education in Mechatronics (REM), 2019, pp. 1-6 DOI: https://doi.org/10.1109/REM.2019.8744117

Downloads

Published

28-02-2022

How to Cite

[1]
V. D. H. Nguyen, V. D. Tran, M. T. Nguyen, V. P. Vu, V. T. Ngo, and T. V. Nguyen, “Experimental Fuzzy Control for Tower Crane”, JTE, vol. 17, no. 1, pp. 36–47, Feb. 2022.

Most read articles by the same author(s)

1 2 3 4 > >> 

Similar Articles

You may also start an advanced similarity search for this article.