Design and simulation of Neural Network Predictive Controller pitch-angle in permanent magnetic synchronous generator wind turbine variable pitch system

Abstract

This paper considered maximum power extraction in wind turbines. However, the importance of constant power output of a wind turbine is increasing as the contribution of wind energy to the distribution network / grid grows. This may be considered as a guide of the future pitch angle control problems. The permanent magnetic synchrounous generator (PMSG) wind turbine variable pitch system is done through changing the electrical characteristics of the generator and changing the pitch angle. Also PMSG wind turbine variable pitch system is equipped with systems for regulating the orientation angles of the axis of the turbine against the wind and against the skyline. The design and simulation of Neural Network Predictive Controller (NNPC)-pitch angle involved in PMSG wind turbine variable pitch system is outlined. Its performance design is simulated to baseline linear controller through simulation in the range of wind speed is 7– 10 m/s. To test the designed NNPC-pitch angle performance, PMSG wind turbine variable pitch system has been simulated and results are constant power output.