Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{182311,
        author = {Shini S and Akhil A G},
        title = {GA BASED OPTIMAL LQG CONTROLLER DESIGN FOR PITCH REGULATED VARIABLE SPEED WIND TURBINE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {1823-1832},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182311},
        abstract = {This work focuses on developing an optimal controller for pitch-regulated speed control of a variable-speed wind turbine operating under above-rated wind conditions. As power generation from wind is inherently variable, effective control strategies are essential to reduce power fluctuations and ensure stable grid integration. A pitch control mechanism is employed in the full-load region to regulate rotor speed by adjusting blade angles, thereby maintaining power output within desired limits. A simplified two-mass mechanical model of the turbine, based on the Controls Advanced Research Turbine (CART) from NREL, is developed and linearized around an operating point (wind speed of 18 m/s and rotor speed of 42 rpm). Initial open-loop simulations reveal the need for a closed-loop controller. A conventional PID-based pitch controller is first implemented in MATLAB-SIMULINK, followed by the design of a more advanced Linear Quadratic Gaussian (LQG) controller, which integrates a Linear Quadratic Regulator with a Kalman filter for optimal state estimation. As manual tuning of LQG weighting matrices is time-consuming and suboptimal, a Genetic Algorithm is proposed for their optimal selection. The objective of this work is to enhance power quality by minimizing fluctuations in the generated wind power.},
        keywords = {},
        month = {July},
        }