Please use this identifier to cite or link to this item:
|Title:||Robust PI controller design for nonlinear systems via fuzzy modelling approach|
|Authors:||Zheng, F. |
|Citation:||Zheng, F.,Wang, Q.-G.,Lee, T.H.,Huang, X. (2001). Robust PI controller design for nonlinear systems via fuzzy modelling approach. Proceedings of the IEEE Conference on Decision and Control 5 : 4346-4351. ScholarBank@NUS Repository.|
|Abstract:||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.|
|Source Title:||Proceedings of the IEEE Conference on Decision and Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 2, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.