Detail publikačního výsledku

Advanced Robust PDC Fuzzy Control of Nonlinear Systems

M. Polanský

Originální název

Advanced Robust PDC Fuzzy Control of Nonlinear Systems

Anglický název

Advanced Robust PDC Fuzzy Control of Nonlinear Systems

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

This paper introduces a new method called ARPDC (Advanced Robust Parallel Distributed Compensation) for automatic control of nonlinear systems. This method improves a quality of robust control by interpolating of robust and optimal controller. The weight of each controller is determined by an original criteria function for model validity and disturbance appreciation. ARPDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy systems and Parallel Distributed Compensation (PDC) control scheme. The relaxed stability conditions of ARPDC control of nominal system have been derived. The advantages of presented method are demonstrated on the inverse pendulum benchmark problem. From comparison between three different controllers (robust, optimal and ARPDC) follows, that ARPDC control is almost optimal with the robustness close to the robust controller. The results indicate that ARPDC algorithm can be a good alternative not only for a robust control, but in some cases also to an adaptive control of nonlinear systems.

Anglický abstrakt

This paper introduces a new method called ARPDC (Advanced Robust Parallel Distributed Compensation) for automatic control of nonlinear systems. This method improves a quality of robust control by interpolating of robust and optimal controller. The weight of each controller is determined by an original criteria function for model validity and disturbance appreciation. ARPDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy systems and Parallel Distributed Compensation (PDC) control scheme. The relaxed stability conditions of ARPDC control of nominal system have been derived. The advantages of presented method are demonstrated on the inverse pendulum benchmark problem. From comparison between three different controllers (robust, optimal and ARPDC) follows, that ARPDC control is almost optimal with the robustness close to the robust controller. The results indicate that ARPDC algorithm can be a good alternative not only for a robust control, but in some cases also to an adaptive control of nonlinear systems.

Klíčová slova

Robust control, optimal control, Takagi–Sugeno (TS) fuzzy models, linear matrix inequality (LMI), observer, Advanced Robust Parallel Distributed Compensation (ARPDC)

Klíčová slova v angličtině

Robust control, optimal control, Takagi–Sugeno (TS) fuzzy models, linear matrix inequality (LMI), observer, Advanced Robust Parallel Distributed Compensation (ARPDC)

Autoři

M. Polanský

Vydáno

01.03.2006

ISSN

1305-5313

Periodikum

Transactions on Engineering, Computing and Technology

Svazek

2006

Číslo

v11

Stát

Turecká republika

Strany od

177

Strany počet

6

BibTex

@article{BUT43617,
  author="Michal {Polanský}",
  title="Advanced Robust PDC Fuzzy Control of Nonlinear Systems",
  journal="Transactions on Engineering, Computing and Technology",
  year="2006",
  volume="2006",
  number="v11",
  pages="6",
  issn="1305-5313"
}