Intelligent approach on sensorless control of permanent magnet synchronous generator

In this paper, a standalone permanent magnet synchronous generator (PMSG)
system is designed to generate power at maximum power point (MPP). The
variable speed operation of wind energy conversion system consists of PMSG,
controlled rectifier and voltage source inverter co to the load. Proportional integral
(PI), sliding mode (SM), and feed forward neural network (FFNN) control
strategies are applied in field oriented control (FOC) at generator side converter.
A comparative study on power generated at maximum power point (MPP) is
done with these controllers using simulation. Hill climb search (HCS) method
is applied to attain MPP. Load side inverter control strategy involves the PI and
SM controllers in order to maintain the unity power factor and to control the active
and reactive power for nonlinear load. The control strategies are modelled
and simulated with MATLAB/Simulink. The effectiveness of proposed control
method is demonstrated using simulation results.