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- Title
Fuzzy dissipative and observer control for wind generator systems: a fuzzy time-dependent LKF approach.
- Authors
Saravanakumar, Ramasamy; Joo, Young Hoon
- Abstract
This paper examines the network-based dissipative and fuzzy observer control for wind generator systems (WGSs) by using time-dependent fuzzy Lyapunov–Krasovskii functional (LKF) approach. The main aim of this work is to design the desired dissipative and observer control gains. An effective time-dependent fuzzy LKF is constructed, and using a new mathematical analysis method dissipative and fuzzy observer controller performance are designed for wind generator systems. The results are represented in the form of linear matrix inequalities. Takagi–Sugeno fuzzy model-based algorithm is considered to increase the efficiency of the system and guarantee almost convergence. To show the effectiveness of the proposed novel method, simulations for WGS are provided.
- Subjects
FUZZY logic; FUZZY systems; LINEAR matrix inequalities; WINDS; MATHEMATICAL analysis; FUZZY algorithms
- Publication
Nonlinear Dynamics, 2019, Vol 97, Issue 4, p2189
- ISSN
0924-090X
- Publication type
Article
- DOI
10.1007/s11071-019-05116-0