Effective dual-mode fuzzy DMC algorithms with on-line quadratic optimization and guaranteed stability

• Autorzy: Piotr M. Marusak , Piotr Tatjewski
• Języki publikacji: EN

Abstrakty

EN

Dual-mode fuzzy dynamic matrix control (fuzzy DMC-FDMC) algorithms with guaranteed nominal stability for constrained nonlinear plants are presented. The algorithms join the advantages of fuzzy Takagi-Sugeno modeling and the predictive dual-mode approach in a computationally efficient version. Thus, they can bring an improvement in control quality compared with predictive controllers based on linear models and, at the same time, control performance similar to that obtained using more demanding algorithms with nonlinear optimization. Numerical effectiveness is obtained by using a successive linearization approach resulting in a quadratic programming problem solved on-line at each sampling instant. It is a computationally robust and fast optimization problem, which is important for on-line applications. Stability is achieved by appropriate introduction of dual-mode type stabilization mechanisms, which are simple and easy to implement. The effectiveness of the proposed approach is tested on a control system of a nonlinear plant-a distillation column with basic feedback controllers.

Słowa kluczowe

EN

nonlinear systems; fuzzy systems; model predictive control; stability; constrained control; dual-mode control

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2009
• Tom: 19
• Numer: 1
• Strony: 127-141

Daty

wydano

2009

otrzymano

2007-09-04

poprawiono

2008-03-18

Twórcy

autor

Piotr M. Marusak

• Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland

autor

Piotr Tatjewski

• Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland

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Identyfikatory

DOI

10.2478/v10006-009-0012-8