A Nonlinear Programming Approach For The Swing-Up Control Problem
Year 2008,
Volume: 21 Issue: 2, 109 - 124, 31.12.2008
Ahmet Yazıcı
,
Abdurrahman Karamancıoğlu
Abstract
A nonlinear programming approach for the inverted pendulum swing-up control is presented. Even though it is an energy-based method, it uses fundamentally different mathematical tools to achieve the swing-up goal. The control problem translated into nonlinear programming model with appropriate objective function and constraints. While the objective function provides energy increase in the system, physical restrictions of the system are handled in the constraints of the nonlinear programming model. It is also shown that this model is intrinsically suitable for embedding any nonlinear system constraints. Simulation results for illustrative cases are included to validate the design method.
References
- [1] K.J. Astrom and K. Furuta, “Brief Paper Swinging up a pendulum by energy control”,
Automatica, vol.36, pp. 287-295, 2000.
- [2] A.S. Shiriaev, O. Egeland, H. Ludvigsen, and A.L. Fradkov, “VSS-version of energy-based
control for swinging up a pendulum”, Systems and Control Letters, vol. 44, pp. 45-56,
2001.
- [3] K. Yoshida, “Swing-up control of an inverted pendulum by energy-based Methods”,
Proceedings of American Control Conference, pp. 4045-4047, 1999.
- [4] D. Chatterjee, A. Patra, and H. K. Joglekar, “Swing-up and stabilization of a cartpendulum
system under restricted cart track length", Systems and Control Letters, vol. 47,
pp. 355-364, 2002.
- [5] N. Muskinja, and B. Tovornik, “Swinging up and stabilization of a real inverted
pendulum”, IEEE Transactions on Industrial Electronics, vol. 53, pp. 631-639, 2006.
- [6] R. Lozano, I. Fantoni, and D. J. Block, “Stabilization of the inverted pendulum around its
homoclinic orbit", Systems and Control Letters, vol. 40, pp.197-204, 2000.
- [7] J. Yi, N. Yubazaki, and K. Hirota, “Upswing and stabilization control of inverted
pendulum system based on the SIRMs dynamically connected fuzzy inference model”,
Fuzzy Sets and Systems, vol. 122, pp. 139-152, 2001.
- [8] K. Ogata, Modern Control Engineering, Prentice-Hall Inc, 1990.
- [9] M. S. Bazaraa, H. D. Sherali, and C. M. Shetty, “Nonlinear Programming: Theory and
Algoritms”, John Wiley and Sons, 1993.
A Nonlinear Programming Approach For The Swing-Up Control Problem
Year 2008,
Volume: 21 Issue: 2, 109 - 124, 31.12.2008
Ahmet Yazıcı
,
Abdurrahman Karamancıoğlu
Abstract
A nonlinear programming approach for the inverted pendulum swing-up control is presented. Even though it is an energy-based method, it uses fundamentally different mathematical tools to achieve the swing-up goal. The control problem translated into nonlinear programming model with appropriate objective function and constraints. While the objective function provides energy increase in the system, physical restrictions of the system are handled in the constraints of the nonlinear programming model. It is also shown that this model is intrinsically suitable for embedding any nonlinear system constraints. Simulation results for illustrative cases are included to validate the design method.
References
- [1] K.J. Astrom and K. Furuta, “Brief Paper Swinging up a pendulum by energy control”,
Automatica, vol.36, pp. 287-295, 2000.
- [2] A.S. Shiriaev, O. Egeland, H. Ludvigsen, and A.L. Fradkov, “VSS-version of energy-based
control for swinging up a pendulum”, Systems and Control Letters, vol. 44, pp. 45-56,
2001.
- [3] K. Yoshida, “Swing-up control of an inverted pendulum by energy-based Methods”,
Proceedings of American Control Conference, pp. 4045-4047, 1999.
- [4] D. Chatterjee, A. Patra, and H. K. Joglekar, “Swing-up and stabilization of a cartpendulum
system under restricted cart track length", Systems and Control Letters, vol. 47,
pp. 355-364, 2002.
- [5] N. Muskinja, and B. Tovornik, “Swinging up and stabilization of a real inverted
pendulum”, IEEE Transactions on Industrial Electronics, vol. 53, pp. 631-639, 2006.
- [6] R. Lozano, I. Fantoni, and D. J. Block, “Stabilization of the inverted pendulum around its
homoclinic orbit", Systems and Control Letters, vol. 40, pp.197-204, 2000.
- [7] J. Yi, N. Yubazaki, and K. Hirota, “Upswing and stabilization control of inverted
pendulum system based on the SIRMs dynamically connected fuzzy inference model”,
Fuzzy Sets and Systems, vol. 122, pp. 139-152, 2001.
- [8] K. Ogata, Modern Control Engineering, Prentice-Hall Inc, 1990.
- [9] M. S. Bazaraa, H. D. Sherali, and C. M. Shetty, “Nonlinear Programming: Theory and
Algoritms”, John Wiley and Sons, 1993.