Methodology for the Pitch Controller Wind Prediction System in Small Wind Turbines

Abstract Nowadays, it is necessary to generate electrical energy using renewable natural resources even when the wind is limited. Small wind turbines are required to operate even with turbulence due to operation height. In this research, a fuzzy logic controller for the angular position of the blades in a wind turbine is proposed. The pitch system regulates the rotational speed of the generator to keep it at a nominal value. The mechanics of a blade pitch system usually act slower than an electrical control signal, which causes problems when the blades need fast positioning. The need for a quick blade positioning response arises when wind gusts occur. Wind gusts are undesirable in all regions of wind turbine operation, making efficient pitch control a problem. This work develops the experimental platform on a small wind turbine located in Mexico at the Autonomous University of Queretaro (UAQ). The wind speed conditions in a non-steady-state regime are presented at the experimental site. A weather station meters ahead of the wind turbine anticipates the position of the rotor blade before being impacted. Results of this methodology prove that the rotor blades reach in advance the ideal position to receive air gusts. This methodology will contribute to the efficient and safe utilization of wind turbines with turbulent wind speeds.