Robust observer-based fuzzy control for variable speed wind power system: LMI approach

• Published in: International journal of control, automation, and systems Vol. 9; no. 6; pp. 1103 - 1110
• Main Authors: Sung, Hwa Chang, Park, Jin Bae, Joo, Young Hoon
• Format: Journal Article
• Language: English
• Published: Heidelberg Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.12.2011; Springer Nature B.V; 제어·로봇·시스템학회
• Subjects: Alternative energy sources; Analysis; Automation; Control; Control systems; Control theory; Controllers; Design; Dynamical systems; Engineering; Fuzzy; Fuzzy logic; Fuzzy sets; Inequality; Mechatronics; Multivariable control systems; Nonlinear dynamics; Optimization techniques; Regular Papers; Robotics; Robust control; Simulation; Studies; Turbines; Uncertainty; Variable speed; Wind power; 제어계측공학; parametric uncertainties; variable speed wind power (VSWP) system; Linear matrix inequalities (LMIs); observer-based control; Takagi-Sugeno (T-S) fuzzy model
• ISSN: 1598-6446; 2005-4092
• DOI: 10.1007/s12555-011-0611-7

In this paper, the output-feedback control for stabilizing the uncertain nonlinear system is proposed. For achieving the robust stability, we deal with the parametric uncertainties of the concerned system which is based on the Takagi-Sugeno (T-S) fuzzy model. Also, we derive the observer-based models preserving the property and structure of the uncertainties. The sufficient conditions for output feedback stabilizing controller designs are given in terms of solutions to a set of linear matrix inequalities (LMIs). The simulation results for variable speed wind power (VSWP) system are demonstrated to visualize the feasibility of the proposed method.