Optimal Controller Design for Wind Turbine using Sliding Sector and Genetic Algorithms

LISAC Laboratory: Computer Science, Signal, Automation, and Cognitivism Laboratory, Physics Department, Faculty of Sciences, Sidi Mohamed Ben Abdellah University, B.P. 1796 Fez-Atlas, 30003, Fez, Morocco

^* Corresponding author: yattou.elfadili@usmba.ac.ma

Abstract

This present work presents a major contribution to the field of wind turbine control which is the more challenging context that this paper is focused. This manuscript gives a novel design of a high-performance controller using the sliding sector law optimized by genetic algorithms. This developed design gives an improvement in the robustness of wind energy systems compared to the traditional law known as sliding mode control (SMC). The proposed design is based on the idea of extending the SMC by transforming the sliding surface into a sliding sector. Genetic algorithms are used to optimize the switching gain in its control structure in real-time. The benefits of this design under fast and random wind speed variations are utility for non-linear systems, achieving maximum power tracking, ensuring robust stability, eliminating the chattering problem, and faster response time. The strengths of this design are proved by simulation results of the main parameters of the two-mass model of wind turbines using Matlab software.