Individual pitch control for load reduction of offshore wind turbine based on particle swarm optimization and fuzzy logic

Abstract As wind turbine grow in size, the uneven distribution of wind speeds within the rotor‐wept area results in unbalanced loads, which have become a significant factor affecting wind turbine performance. Load feedback‐based individual pitch control (IPC) for wind turbine addresses this issue. However, traditional proportional‐integral (PI) controllers may not have optimal proportional and integral coefficients in engineering applications, and fixed‐coefficient PI controllers are not ideal for complex operating conditions. Therefore, this paper proposes an offline optimization‐online self‐correction control method based on particle swarm optimization (PSO) and fuzzy logic. The PSO algorithm is employed offline to minimize unbalanced rotor loads by optimizing the PI coefficients, which are then subjected to online self‐correction based on fuzzy logic. Joint simulations using OpenFAST and MATLAB demonstrate that the proposed offline optimization‐online self‐correction control method enhances the load reduction effectiveness of IPC in wind turbine.