The Fuzzy Tracking Control of Output vector of Double Fed Induction Generator DFIG via T–S Fuzzy Model

Abstract

Abstract:The purpose of this paper is to ensure a tracking control of output state especially the active and reactive powers of doubly fed induction generator (DFIG) by using the approach of Parallel Distributed Compensation (PDC) of the fuzzy control type Takagie-Sugeno (T-S) which determines the control laws containing fuzzy tracking and return state. This tracking has been built to converge the output vectors of the DFIG to a desired state. In this work, the quadratic function of lyaponov and a linear matrix inequality (LMI) are used to obtain the gains of the tracking control and the controller.The simulations results of law control based on the tracking and controller gains allow the active and reactive powers obtained must follow the reference proposed.

Novel Hybrid Interval Type-2 Fuzzy Adaptive Backstepping Control for a Class of Uncertain Discrete-Time Nonlinear Systems

“…𝜉 𝑖 (𝑥̅ ̂𝑖) = [𝜉 𝑖1 𝑇 (𝑥 ̂1), … , 𝜉 𝑖𝑙 𝑇 (𝑥 ̂𝑙), … , 𝜉 𝑖𝑖 𝑇 (𝑥 ̂𝑖)] 𝑇 ∈ 𝐑 (𝑖×𝑟) are the sets of adjustable parameter vectors and fuzzy basis function vectors, respectively, with 𝜉 𝑖𝑙𝑗 (𝑥 ̂𝑙) of 𝜉 𝑖𝑙 (𝑥 ̂𝑙) given as [19]:…”

Hyperchaos Synchronization Using T-S Fuzzy Model Based Synergetic Control Theory

“…Recently, fuzzy control techniques have been widely and successfully used in modeling and control of nonlinear systems [11][12][13]. Especially, Takagi-Sugeno (T-S) fuzzy model [13][14][15][16][17] has been a popular choice in industrial processes due to its ability to represent the nonlinear system without complex mathematical equations.…”