Controller design for rotary inverted pendulum system using evolutionary algorithms

Mathematical Problems in Engineering

Volumn 2011, Issue , 2011, Pages

  Hassanzadeh, Iraj ^a,b   Mobayen, Saleh ^a,b  

^a UNIVERSITY OF TABRIZ   (Iran)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANT COLONY OPTIMIZATION METHODS; CONTROLLER DESIGNS; EVOLUTIONARY APPROACH; INVERTED PENDULUM; LOAD DISTURBANCES; NOISE EFFECTS; PARAMETER VARIATION; ROTARY INVERTED PENDULUMS;

ARTIFICIAL INTELLIGENCE; CONTROLLERS; PARTICLE SWARM OPTIMIZATION (PSO); PENDULUMS;

GENETIC ALGORITHMS;

EID: 84855222220     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2011/572424     Document Type: Article

References (20)

1. Nichols N. B., Ziegler J. G., Optimum settings for automatic controllers ASME Transactions 1942 64 759 768
2. Krohling R. A., Rey J. P., Design of optimal disturbance rejection PID controllers using genetic algorithms IEEE Transactions on Evolutionary Computation 2001 5 1 78 82 (Pubitemid 32330499)
3. Gaing Z. L., A particle swarm optimization approach for optimum design of PID controller in AVR system IEEE Transactions on Energy Conversion 2004 19 2 384 391
4. Visioli A., Tuning of PID controllers with fuzzy logic IEE Proceedings: Control Theory and Applications 2001 148 1 18
5. Zhou G., Birdwell J. D., Fuzzy logic-based PID autotuner design using simulated annealing Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided Control System Design March 1994 Tucson, Ariz, USA 67 72
6. Kim D. H., Hybrid GA-BF based intelligent PID controller tuning for AVR system Applied Soft Computing Journal 2011 11 1 11 22
7. Iruthayarajan M. W., Baskar S., Evolutionary algorithms based design of multivariable PID controller Expert Systems with Applications 2009 36 5 9159 9167
8. Fu Y. Y., Wu C. J., Chien T. L., Ko C. N., Integration of PSO and GA for optimum design of fuzzy PID controllers in a pendubot system Artificial Life and Robotics 2008 13 1 223 227
9. Mukherjee V., Ghoshal S. P., Intelligent particle swarm optimized fuzzy PID controller for AVR system Electric Power Systems Research 2007 77 12 1689 1698 (Pubitemid 47348223)
10. Chang W. D., PID control for chaotic synchronization using particle swarm optimization Chaos, Solitons and Fractals 2009 39 2 910 917
11. Coelho L. D. S., Bernert D. L. D. A., A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization Expert Systems with Applications 2010 37 6 4198 4203
12. Mukinja N., Tovornik B., Swinging up and stabilization of a real inverted pendulum IEEE Transactions on Industrial Electronics 2006 53 2 631 639
13. Mei H., He Z., Study on stability control for single link rotary inverted pendulum Proceedings of the International Conference on Mechanic Automation and Control Engineering (MACE '10) June 2010 Wuhan, China 6127 6130
14. Yan Q., Output tracking of under-graduated rotary inverted pendulum by nonlinear controller 3 Proceedings of the 42nd IEEE Conference on Decision and Control 2003 Maui, Hawaii, USA 2395 2400
15. Rahmat-Samii Y., Genetic algorithm and particle swarm optimization in engineering electromagnetics Proceedings of the 17th International Conference on Applied Electromagnetics and Communications 2003 Dubrovnik, Croatia
16. Kennedy J., Eberhart R., Particle swarm optimization 4 Proceedings of the International Conference on Neural Networks November 1995 Perth, WA, Australia 1942 1948
17. Hassanzadeh I., Mobayen S., PSO-based controller design for rotary inverted pendulum system Journal of Applied Sciences 2008 8 16 2907 2912
18. Dorigo M., Sttzle T., Ant Colony Optimization 2004 Cambridge MIT Press
19. Mobayen S., Identification and control of rotational inverted pendulum using intelligent methods, M.S. thesis 2008 Tabriz, Iran University of Tabriz
20. Haupt R. L., Haupt S. E., Practical Genetic Algorithms 1998 2nd New York, NY, USA John Wiley Sons