Control of Inverted Pendulum system by using a new robust model predictive control strategy

2011 International Siberian Conference on Control and Communications, SIBCON 2011 - Proceedings

Volumn 201, Issue , 2011, Pages 27-32

  Ghanavati, Meysam ^a   Majd, Vahid Johari ^a   Ghanavati, Malek ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b SHAHID CHAMRAN UNIVERSITY OF AHVAZ   (Iran)

Author keywords

H2 norm; LMI; Noise measurement; Polytpoic systems; Robust predictive control

Indexed keywords

DESIGN GOAL; H2 NORM; INVERTED PENDULUM SYSTEM; LINEARIZATION TECHNIQUE; LMI; MEASUREMENT NOISE; NOISE MEASUREMENTS; PARAMETER VARIATION; POLYTOPIC SYSTEM; PREDICTIVE CONTROLLER; ROBUST MODEL PREDICTIVE CONTROL; ROBUST PREDICTIVE CONTROL; SINGLE INVERTED PENDULUM; SIP SYSTEMS;

INTERNET PROTOCOLS; PENDULUMS; PREDICTIVE CONTROL SYSTEMS; ROBUST CONTROL; WHITE NOISE;

MODEL PREDICTIVE CONTROL;

EID: 83455261884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBCON.2011.6072588     Document Type: Conference Paper

References (15)

1. Y. Dong, Z. Wang, Z. Feng, D. Wang, H. Fang, "Energy based control for a class of under-actuated mechanical systems," 2008 Congress on Image and Signal Processing, vol. 3, pp. 139-143,27-30 May 2008.
2. D.J. Block, "Mechanical design and control of the pendubot," MSc. Thesis, University of Illinois, Urbana-Champaign, 1996.
3. Isabelle Fantoni, Rogelio Lozano, and Mark W. Spong, "Energy based control of the pendubot", IEEE Trans. Automatic Control, vol. 45, no. 4, pp. 725-729, April 2000.
4. D. Zhao and J. VI, "Swing-up pendubot with a GA-tuned bang-bang controller", In 2003 Proc. IEEE International Con! Robotics, Intelligent Systems and Signal Processing, Changsha, China, October 2003.
5. M.W. Spong and D.J. Block, "The pendubot: a mechatronic system for control research and education," in 34th IEEE Con! Decision and Control, pp. 555-556, New Orleans, 1995.
6. X. Xin, M. Kaneda, T. OKI, "The swing up control for the pendubot based on energy control approach," 15th Triennial World Congress, Barcelona, Spain, 2002.
7. http://www.engin.umich.edu/group/ctm/examples/pend/invpen.html
8. M. Nachidi, A. Benzaouia, F. Tadeo, and M.A. Rami, LMI-Based Approach for Output-Feedback Stabilization for Discrete-Time TakagiSugeno Systems, IEEE Transactions on Fuzzy systems, vol.16, no.5, pp.1188-1196,2008.
9. A. Bemporad, M. Morari, "Robust model predictive control: a survey", in: A.Vicino, G.Zappa, A.Garulli, A.Tesi (Eds.), Robustness in Identification and Control, vol. 245, Springer-Verlag, London LTD, Godalming, pp. 207-226, 1999.
10. M.V. Kothare, V. Balakrishnan, M. Morari, "Robust constrained model predictive control using linear matrix inequalities", Automatica vol. 32, no. 10,pp. 1361-1379,1996. (Pubitemid 126365465)
11. Y.1. Lee, B. Kouvaritakis, "Receding horizon output feedback control for linear systems with input saturation", IEEE Proceedings on Control Theory andApplication, vol. 148, pp. 109-115, 2001 (Pubitemid 32456307)
12. D.Q. Mayne, S.V. Rakovic, R. Findeisen and F. Allgower,. "Robust output feedback model predictive control of constrained linear systems". Automatica, vol. 42, pp. 1217-1222,2006. (Pubitemid 43767482)
13. B. Dinga, Y. Xib, M.T. Cychowskic, T. O'Mahonyc, "A synthesis approach for output feedback robust constrained model predictive control", Automatica, vol.44, pp.258-264, 2008.
14. K. Zhou, J.C. Doyle, and K. Glover, Robust and optimal control. Prentice Hall, Englewood Cli-s, New Jersey 07632,1996.
15. A.G. Wills, D. Bates, A.J. Fleming, B. Ninness, S.O.R Moheimani, "Model Predictive Control Applied to Constraint Handling in Active Noise and Vibration Control", IEEE Transactions on Control system technology, vol.16 ,no., pp. 3-121 ,2008.