Volume 16, Issue 3 (Journal of Control, V.16, N.3 Fall 2022)                   JoC 2022, 16(3): 59-69 | Back to browse issues page

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Nazeran S, Farrokhi M. 2-DoF Self-tuning Fuzzy PID Controller for Under-actuated Inverted Pendulum System with Uncertainties in Model. JoC 2022; 16 (3) :59-69
URL: http://joc.kntu.ac.ir/article-1-848-en.html
1- Iran University of Science and Technology
Abstract:   (1289 Views)
In this manuscript, the laboratory inverted pendulum mounted on a cart has been controlled using 2-DOF self-tuning fuzzy PID controller. The robustness of the proposed method is investigated against the uncertainties in the system’s parameters and external disturbances. Moreover, the proposed method is tested against measurement noises. Stability of the proposed method is investigated using Bode diagrams in frequency domain. Performance of the 2Dof-fuzzy-PID controller is compared with the 2-DoF PID controller. The practical results indicates better performance of the proposed method.
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Type of Article: Research paper | Subject: Special
Received: 2021/03/27 | Accepted: 2022/07/22 | ePublished ahead of print: 2022/12/30 | Published: 2022/12/1

1. [1] H. Omur Ozer, "Genetic algorithm optimized PID control of a pendulum," International Conference on Engineering Technology and Innovation, Istanbul, Turkey, 2017.
2. [2] A. A. Hakim and I. M. Sanhoury, "Stabilizing x-y inverted pendulum via fractional order PID controller," International Conference on Computer, Control, Electrical, and Electronics Engineering, Khartoum, Sudan, 2018. [DOI:10.1109/ICCCEEE.2018.8515823]
3. [3] P. Dwivedi, S. Pandey, and A. Junghare, "Performance analysis and experimental validation of 2 dof fractional order controller for underactuated rotary inverted pendulum," Arabic Journal of Science and Engineering, vol. 42, no. 12, pp. 5121-5145, 2017. [DOI:10.1007/s13369-017-2618-8]
4. [4] S. Irfan, A. Mehmood, M. T. Razzaq, and J. Iqbal, "Advanced sliding mode control techniques for inverted pendulum modelling and simulation," International Journal of Engineering Science and Technology, vol. 21, no. 4, pp. 753-759, 2018. [DOI:10.1016/j.jestch.2018.06.010]
5. [5] M. Aydin, O. Yakut, and H. Tutumlu, "Implementation of the network based moving sliding mode control algorithm to the rotary inverted pendulum system," Journal of Engineering and Technology, vol. 3, no. 1, pp. 32-41, 2019.
6. [6] P. Kumar, O.N. Mehrotra, and J. Mahto, "Tuning PID controller of inverted pendulum using genetic algorithm," International journal of Research in Engineering and Technology, vol. 1, no. 3, pp. 359-363, 2018. [DOI:10.15623/ijret.2012.0103029]
7. [7] M. Magdy, A. Al Marhomy, and M. A. Attia, " Modeling of inverted pendulum system with gravitational search algorithm optimized controller, " Ain Shams Engineering Journal, vol. 1, no. 10, pp. 129-149, 2019. [DOI:10.1016/j.asej.2018.11.001]
8. [8] C. Mahapatra, S. Chauhan, and B. Hemakumar, " Servo control and stabilizing of linear inverted pendulum on a cart using LQG," International Conference on Power Energy, Environment and Intelligent Control, Greater Noida, India 2018. [DOI:10.1109/PEEIC.2018.8665634]
9. [9] N. Bintiismail, Fuzzy Logic Controller Design for Inverted Pendulum System, Master Thesis, Tun Hussein Onn, University Electrical Engineering, Malaysia, 2013.
10. [10] M. Shahrieel Mohd Aras, M. Sulaiman, A. Khamis, M. Hendra Hairi, M. Md Ghazaly, M. Khairi Mohd Zambri and H. Nizam Mohd Shah, " Evaluation of transient response for rotary inverted pendulum positioning using fuzzy logic controller," International Journal of Electrical Engineering and Applied Sciences, vol. 1, no. 1 pp. 9-16, 2018.
11. [11] S. Khan and S. Paliwal, " Optimal control of nonlinear inverted pendulum system using fuzzy controller," Journal of Engineering Research and Application, vol. 8, no. 5, pp. 62-66, 2018.
12. [12] A. Yadav, Sliding-Mode Control with RBF Neural Network for Two Link Robot Manipulator and an Inverted Pendulum System, Master Thesis, Delhi Technological University, Department of Electrical Engineering, Bawana Road, Delhi, 2019.
13. [13] A. Kumar Sharma and B. Bhushan, " Sliding mode control of inverted pendulum with decoupling algorithm," International Journal of Computer Applications, vol. 181, no. 27, pp. 1-5, 2018. [DOI:10.5120/ijca2018918044]
14. [14] Feedback Manual For Digital Pendulum, www.feedback-instruments.co, 2015.
15. [15] M. Araki and H. Taguchi, "Two degree of freedom PID controllers," International Journal Control Automatic System, vol. 1, no. 4, pp. 401-411, 2003.
16. [16] L. X. Wang, A Course in Fuzzy Systems and Control, second ed., John Wiley & Sons, New Jercy, 1996.

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