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One problem with the design of a linearized controller for a wind energy conversion system (WECS) is the extremely nonlinear behavior of the system, resulting in a poor performance. The scope of this paper is to enhance the linearization precision and the controller performance efficiency, and to design a linear state feedback based on linear quadratic (LQ) criterion. To obtain a reasonable linear model, instead of conventional methods, an optimal approach is employed. Furthermore, to gain the centralized controller, another index is considered to determine input and output weighting matrices to achieve the most optimal solutions. Simulation results show the effectiveness of the proposed strategy to adhere to two requirements as set-point tracking and disturbance rejection.