Fuzzy control system performance enhancement by iterative learning control

Radu Emil Precup, Stefan Preitl, J. Tar, Marius L. Tomescu, Márta Takács, P. Korondi, P. Baranyi

Research output: Contribution to journalArticle

71 Citations (Scopus)

Abstract

This paper suggests low-cost fuzzy control solutions that ensure the improvement of control system (CS) performance indices by merging the benefits of fuzzy control and iterative learning control (ILC). The solutions are expressed in terms of three fuzzy CS (FCS) structures that employ ILC algorithms and a unified design method focused on Takagi-Sugeno proportional-integral fuzzy controllers (PI-FCs). The PI-FCs are dedicated to a class of servo systems with linear/linearized controlled plants characterized by second-order dynamics and integral type. The invariant set theorem by Krasovskii and LaSalle with quadratic Lyapunov function candidates is applied to guarantee the convergence of the ILC algorithms and enable proper setting of the PI-FC parameters. The linear PI controller parameters tuned by the extended symmetrical optimum method are mapped onto the PI-FC ones by the modal equivalence principle. Real-time experimental results for a dc-based servo speed CS are included.

Original languageEnglish
Pages (from-to)3461-3475
Number of pages15
JournalIEEE Transactions on Industrial Electronics
Volume55
Issue number9
DOIs
Publication statusPublished - 2008

Fingerprint

Fuzzy control
learning
Control systems
Controllers
augmentation
controllers
Servomechanisms
Speed control
Lyapunov functions
Merging
speed control
Liapunov functions
equivalence
theorems
Costs

Keywords

  • Fuzzy control
  • Iterative methods
  • Learning control systems
  • Servo systems
  • Stability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Fuzzy control system performance enhancement by iterative learning control. / Precup, Radu Emil; Preitl, Stefan; Tar, J.; Tomescu, Marius L.; Takács, Márta; Korondi, P.; Baranyi, P.

In: IEEE Transactions on Industrial Electronics, Vol. 55, No. 9, 2008, p. 3461-3475.

Research output: Contribution to journalArticle

Precup, Radu Emil ; Preitl, Stefan ; Tar, J. ; Tomescu, Marius L. ; Takács, Márta ; Korondi, P. ; Baranyi, P. / Fuzzy control system performance enhancement by iterative learning control. In: IEEE Transactions on Industrial Electronics. 2008 ; Vol. 55, No. 9. pp. 3461-3475.
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