CFP last date
20 January 2025
Reseach Article

Design of a Robust Controller for Inverted Pendulum

by Arunesh Kumar Singh, D.K.Chaturvedi, Nitin Kumar Pal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 16
Year of Publication: 2015
Authors: Arunesh Kumar Singh, D.K.Chaturvedi, Nitin Kumar Pal
10.5120/19752-1161

Arunesh Kumar Singh, D.K.Chaturvedi, Nitin Kumar Pal . Design of a Robust Controller for Inverted Pendulum. International Journal of Computer Applications. 112, 16 ( February 2015), 23-28. DOI=10.5120/19752-1161

@article{ 10.5120/19752-1161,
author = { Arunesh Kumar Singh, D.K.Chaturvedi, Nitin Kumar Pal },
title = { Design of a Robust Controller for Inverted Pendulum },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 16 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number16/19752-1161/ },
doi = { 10.5120/19752-1161 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:40.036000+05:30
%A Arunesh Kumar Singh
%A D.K.Chaturvedi
%A Nitin Kumar Pal
%T Design of a Robust Controller for Inverted Pendulum
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 16
%P 23-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, robust controller is developed by using H8 controller to improve the performance of the Invert Pendulum. In this paper, introduced a controller by combining the classical PID, the fuzzy controllers and H8 controller and thus a new controller has been achieved. The simulations done on inverted pendulum using the new H8 fuzzy PID controller provides better system responses in terms of transient and steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications.

References
  1. J. Lam, “Control of an Inverted Pendulum”, University of California, Santa Barbara, 10 June 2004.
  2. Yanmei Liu and Zhen Chen, Dingy Xue, Xinhe Xu “Real-Time Controlling of Inverted Pendulum by Fuzzy” Proceedings of the IEEE International Conference on Automation and Logistics Shenyang, China August 2009
  3. Shiriaev A.S., Friesel A., Perram J. “On Stabilization of Rotational Modes of an Inverted Pendulum” Proceedings of the 39th IEEE Conference on Decision and Control Sydney, Australia December, 2000
  4. R. Ooi, “Balancing a Two-Wheeled Autonomous Robot”, University of Western Australia, 3 Nov. 2003.
  5. Marzi Hosein, “Fuzzy Control of an Inverted Pendulum using AC Induction Motor Actuator” IEEE International Conference on Computational Intelligence for Measurement Systems and Applications La Coruna - Spain, July 2006
  6. Marius L. Tomescu, “An Algorithm for Stability of Takagi–Sugeno Fuzzy Logic Controller”, Proceedings of 3rd Romanian Hungarian joint symposium on applied computational intelligence, SACI 2006 Timisoara, Romania may 2006
  7. Songmoung Nundrakwang, Taworn Benjanarasuth, Jongkol Ngamwiwit and Noriyuki Komine, “Hybrid Controller for Swinging up Inverted Pendulum System”, ELITE, CMS, 2005
  8. Robert A. Paz “The Design of the PID Controller” Klipsch School of Electrical and Computer Engineering June 12, 2001.
  9. Katsuhiko Ogata “Modern control Engineering” university of Minnesota, prentice hall, Upper Saddle River. New Jersey 07458
  10. F.Greg Shinskey “PID Control” copyright 2000 CRC Press LLC. “www.engnetbase.com”.
  11. Theory of Robust Control by Carsten Scherer Mechanical Engineering Systems and Control Group Delft University of Technology the Netherlands
  12. Lotfi A. Zadeh Berkeley, CA “Fuzzy Logic Toolbox for use with MATLAB” copyright 1995-2002 by The Math Works, Inc.
  13. Yasunobu Seiji and Yamasaki Hiroaki, “Evolutionary Control Method and Swing Up and Stabilization Control of Inverted Pendulum”, Joint 9th IFSA World Congress and
  14. Stonier R.J. and Young N., “Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulum”, The Congress on Evolutionary Computation, CEC, 2003, volume 1, Page 467-473
  15. Ben M. Chen, Robust and H8 Control, Springer-Verlag, 2000.
  16. Sunjie Zhang, Zidong Wang, Derui Ding, and Huisheng Shu “H8 Fuzzy Control With Randomly Occurring Infinite Distributed Delays and Channel Fadings” IEEE Transactions On Fuzzy Systems, Vol. 22, No. 1, February 2014
  17. Baohua Wang and Yongfei Zhang “Design for H8 Excitation Controller Based on Fuzzy T-S Model” Ieee Transactions 2010.
  18. Li-Ying Sun, Shaocheng Tong, and Yi Liu “Adaptive Backstepping Sliding Mode H8 Control of Static Var Compensator” Ieee Transactions On Control Systems Technology, Vol. 19, No. 5, September 2011.
  19. Ali Poorhossein and Ali Vahidian-Kamyad “Design and implementation of Sugeno controller for Inverted Pendulum on a Cart system” IEEE 8th International Symposium on Intelligent Systems and Informatics • September 10-11, 2010, Subotica, Serbia
  20. Hosein Marzi “Fuzzy Control of an Inverted Pendulum using AC Induction Motor Actuator” IEEE International Conference on Computational Intelligence for Measurement Systems and Applications La Coruna - Spain, 12-14 July 2006
  21. Zhao Yang, Xiao Xiangning, Member, IEEE , Xudong Jia “Nonlinear PID Controller of H-Bridge Cascade SSSC Top Level Control” DRPT2008 6-9 April 2008 Nanjing China.
  22. Lin Wang, Shifu Zheng, Xinping Wang and Liping Fan “Fuzzy Control of a Double Inverted Pendulum Based on Information Fusion” International Conference on Intelligent Control and Information Processing August 13-15, 2010 - Dalian, China
  23. Meysam Ghanavati, Vahid Johari Majd and Malek Ghanavati “Control of Inverted Pendulum System by using a new Robust Model Predictive Control Strategy” 2011 International Siberian Conference on Control and Communications SIBCON.
  24. ZHANG Tieyan, ZHAO Yan, ZHANG Xiaohui, ZHAO Dan “Robust Controller Design for Uncertain Nonlinear Systems via Adaptive Fuzzy PID Approach” Proceeding of the 31st Chinese control conference july 25-27, 2012, Hefai, China.
Index Terms

Computer Science
Information Sciences

Keywords

Inverted Pendulum PID Controller Fuzzy Logic controller