Robust PI controller design for nonlinear systems via fuzzy modelling approach

Feng Zheng, Qing Guo Wang, Tong Heng Lee, Xiaogang Huang

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


The design problem of proportional and proportional-plus-integral (PI) controllers for nonlinear systems is studied in this paper. First, Takagi-Sugeno fuzzy model with parameter uncertainties is used to approximate the nonlinear systems. Then a numerically tractable algorithm based on the technique of iterative linear matrix inequalities is developed to design a proportional (static output feedback) controller for the robust stabilization of the system in Takagi-Sugeno fuzzy model. Thirdly, we transform the problem of PI controller design to that of proportional controller design for an augmented system and thus bring the solution of the former problem into the configuration of the developed algorithm. Finally, the proposed method is applied to the design of robust stabilizing controllers for the excitation control of power systems. Simulation results show that the transient stability can be improved by using a fuzzy PI controller when large faults appear in the system, compared to the conventional PI controller designed by using linearization method around the steady state.

Original languageEnglish
Pages (from-to)4346-4351
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 2001
Externally publishedYes
Event40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States
Duration: 4 Dec 20017 Dec 2001

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


Dive into the research topics of 'Robust PI controller design for nonlinear systems via fuzzy modelling approach'. Together they form a unique fingerprint.

Cite this