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Design of Optimized Fuzzy Cascade controller Based on Partical Swarm Optimization for Ball & Beam System  

Jang, Han-Jong (수원대학교 전기공학과)
Oh, Sung-Kwun (수원대학교 전기공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.12, 2008 , pp. 2322-2329 More about this Journal
Abstract
In this study, we introduce the design methodology of an optimized fuzzy cascade controller with the aid of particle swarm optimization(PSO) for ball & beam system. The ball & beam system consists of servo motor, beam and ball, and remains mutually connected in line in itself. The ball & beam system determines the position of ball through the control of a servo motor. We introduce the fuzzy cascade controller scheme which consists of the outer(1st) controller and the inner(2nd) controller as two cascaded fuzzy controllers, and auto-tune the control parameters(scaling facrors) of each fuzzy controller using PSO. For a detailed comparative analysis from the viewpoint of the performance results and the design methodology, the proposed method for the ball & beam system which is realized by the fuzzy cascade controller based on PSO, is presented in comparison with the conventional PD cascade controller based on serial genetic alogritms.
Keywords
Fuzzy cascade controller; PD cascade controller; Particle Swarm Optimization; Ball & Beam System;
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Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 1
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1 H.-N. Wu and K.-Y. Cai, "Robust fuzzy control for uncertain discrete-time nonlinear Markovian jump systems without mode observations," Information Sciences Vol. 177, Issue 6, pp. 1509-1522, 2007   DOI   ScienceOn
2 J. Hauser, S. Sastry and P. Kokotovic, "Nonlinear control via approximate input-output linearization : the ball and beam example," Automatic Control, IEEE Trans. on, Vol. 37, Issue 3, pp.392-398, 2002
3 L. Wang, "Stable and Optimal Fuzzy Control of Linear Systems," IEEE Trans. on Fuzzy Syst. Vol. 6, No. 1, pp.137-143, 1998   DOI   ScienceOn
4 B. C. Chang, Hary Katany, and Shr-Shuing Hu. "An Application of Robust Feedback Linearization to a Ball and Beam Control problem," Proc. of the IEEE Int'l Conf. on Control Appl., pp. 694-698, 1998
5 K. S Kim, B.-J Park and S.-K Oh, "The Design of Polynomial Network Pattern Classifier based on Fuzzy Inference Mechanism and Its Optimization", KFIS, Vol. 17, No. 7, pp970-976, 2007   과학기술학회마을   DOI
6 C. C. Hang, K. J. Astrom and Q. G. Wang, "Relay feedback auto-tuning of process controllers-a tutorial review", Journal of Process Control, Vol. 12, Issue 1, pp 143-162, 2002   DOI   ScienceOn
7 S. Daley and G. P. Liu, " Optimal PID tuning direct search algorithms", Computing & Control Engineering Journal, Vol. 10, Issue 2, pp. 51-56, 1999   DOI   ScienceOn
8 J. Kennedy, "The particle swarm: Social adaptation of knowledge," Proc. IEEE Int. Conf. Evolutionary Comput., pp. 303-308, 1997
9 K, Suyama, "A Practrical Design Method for PID Control System", SICE, Vol. 29, No. 2, pp. 236-238, 1993
10 Jacbo S. Glower and Jeffrey Munighan, "Designing Fuzzy Controllers from a Variables Structures Standpoint," IEEE Trans. on Fuzzy Syst., Vol. 5, No. 1, pp. 138-144, 1997   DOI   ScienceOn
11 K. K. Tan, H. Dou, T. Chen and T. G. Lee, "High Precision Linear Motor Control via Relay- Tuning and Itcrative Learning Based on Zero-Phase Filtering", Control Syst. Tech, IEEE Trans. on, Vol. 9, Issue 2, pp. 244-253, 2001   DOI   ScienceOn
12 S. Tong, T. Wang and H.-X. Li. "Fuzzy robust tracking control for uncertain nonlinear systems" International Journal of Approximate Reasoning, Vol. 30, Issue 2, pp. 73-90, Jun., 2002   DOI   ScienceOn
13 H. J. Lee, J. B. Park and G. Chen, "Robust Fuzzy Control of Nonlinear Systems with Pararrietric Uncertainties," IEEE Trans. on Syst., Vol. 9, No. 2, pp. 369-379, 2001   DOI   ScienceOn
14 S. Skogestand, "Simple analytic rules for model reduction and PID controller tuning", Journal of Process Control, Vol. 13, Issue, 4, pp. 291-309, 2003   DOI   ScienceOn
15 S.-K Oh, W. Pedryez, S.-B Rho and T.-C. Ahn, "Parameter estimation of fuzzy controller and its application to inverted pendulium" Engineering Application of Artificial Intelligence, Vol. 17, Issue 1, pp. 37-60, Feb. 2004   DOI   ScienceOn
16 John Hauser, Shankar Sastry and Peter Kokotovic, "Nonlinear Control Via Approximate Input-output Linearization. The Ball and Beam Example," IEEE Trans. on Automatic Control, Vol. 37, No. 3, pp. 392-398, 1992   DOI   ScienceOn
17 W. K. Ho, T. H. Lee, H. P. Han and Y. Hong, "Self-Tuning IMC-PID Control with Interval Gain and Phase Margins Assignment", IEEE Trans. On Control Syst., Vol. 9, Issue 3, pp. 535-541, 2001   DOI   ScienceOn