Browse > Article
http://dx.doi.org/10.5916/jkosme.2012.36.7.927

Performance Improvement of the Nonlinear Fuzzy PID Controller  

Kim, Jong Hwa (Korea Maritime University, Division of IT Engineering)
Lim, Jae Kwon (Korea Maritime University, Graduate School)
Joo, Ha Na (LG Electronics Ltd.)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.36, no.7, 2012 , pp. 927-934 More about this Journal
Abstract
This paper suggests a new fuzzy PID controller with variable parameters which improves the shortage of the fuzzy PID controller with fixed parameters suggested in [9]. The derivation procedure follows the general design procedure of the fuzzy logic controller, while the resultant control law is the form of the conventional PID controller. Therefore, the suggested controller has two advantages. One is that it has only four fuzzy linguistic rules and analytical form of control laws so that the real-time control system can be implemented based on low-price microprocessors. The other is that the PID control action can always be achieved with time-varying PID controller gains only by adjusting the input and output scalers at each sampling time.
Keywords
Fuzzy PID controller; variable design parameter; nonlinear system; unmodeled system;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 K. J. Astrom and T. Hagglund, PID Controllers : Theory, Design and Tuning, Instrument Society of America, 1995.
2 K. J. Astrom, K. H. Johansson and Q. G. Wang. "Design of decoupled PID controllers for MIMO systems," Proceedings of the American Control Conference, vol. 3, pp. 2015-2020, 2001.
3 L. Wang, A Coures in Fuzzy Systems and Control, Prentice-Hall, 1997.
4 K. M. Passino and S. Yukovich, Fuzzy Control, Addison Wesely, 1999.
5 A. Heidar, M. H. Li and G. Chen, "New design and stability analysis of fuzzy proportional-derivative control system", IEEE Transactions on Fuzzy Systems, vol. 2, pp 245-254, 1994.   DOI   ScienceOn
6 S. K. Nam and W. S. Yoo, "Fuzzy PID control with accelerated reasoning for DC servo motors," Engineering Application of Artificial Intelligent, vol. 7, pp. 559-569, 1994.   DOI   ScienceOn
7 S. He, S. Tan, F. Xu and P. Wang, "Fuzzy self-tuning of PID controllers," Fuzzy Sets and Systems, vol. 56, pp. 37-46, 1993.   DOI   ScienceOn
8 H. A. Malki, D. Misir, D. Feigenspan and G. Chen, "Fuzzy PID control of a flexible-joint robot arm with uncertainties from time-varying loads," IEEE Transactions on Control System Technology, vol. 5, pp. 371-378, 1997.   DOI   ScienceOn
9 J. Kim and S. Oh, "A fuzzy PID controller for nonlinear and uncertain systems," Soft Computing, vol. 4, pp. 123-129, 2000.   DOI
10 B. Lee, I. Kim, and J. Kim, "Stability analysis and proposal of the simplified form of a fuzzy PID controller with fixed parameters," Journal of Korea Fuzzy Logic and Intelligent Systems Society, vol. 14, no. 7, pp. 807-815, 2004.   과학기술학회마을   DOI   ScienceOn
11 J. K. Kim, I. H. Kim and J. H. Kim, "A position control of nonlinear hydraulic system using variable design-parameter fuzzy PID controller," Journal of Korean Society of Marine Engineering, vol. 28, no. 1, pp. 136-144, 2004 (in Korean).   과학기술학회마을
12 I. H. Kim, "A study on the design method of a nonlinear fuzzy PID controller with variable parameters," Ph.D Thesis, Korea Maritime University, Department of Control and Instrumentation Engineering, 2004 (in Korean).