Mechanical sensorless maximum power tracking control for direct-drive PMSG wind turbines

Abstract

-Wind turbine generators (WTGs) are usually equipped with mechanical sensors to measure wind speed and rotor position for system control, monitoring, and protection. The use of mechanical sensors increases the cost and hardware complexity and reduces the reliability of the WTG systems. This paper proposes a mechanical sensorless maximum power tracking control for wind turbines directly driving permanent magnetic synchronous generators (PMSGs). In the proposed algorithm, the PMSG rotor position is estimated from the measured stator voltages and currents by using a sliding mode observer (SMO). The wind turbine shaft speed is estimated from the PMSG back electromotive force (EMF) using a model adaptive reference system (MRAS) observer. A back propagation artificial neural network (BPANN) is designed to generate the optimal shaft speed reference in real time by using the estimated turbine shaft speed and the measured PMSG electrical power. A control system is developed for the PMSG wind turbine to continuously track the optimal shaft speed reference to generate the maximum electrical power without using any wind speed or rotor position sensors. The validity of the proposed control algorithm is shown by simulation studies on a 3-kW PMSG wind turbine and experimental results on a practical 300-W PMSG wind turbine.Index Terms-artificial neural network, model adaptive reference system (MRAS), permanent magnet synchronous generator (PMSG), sensorless control, sliding mode observer (SMO), wind turbine.

MPPT of Magnus Wind System with DC Servo Drive for the Cylinders and Boost Converter

“…There is an optimal rotational speed producing the maximum mechanical shaft power. Therefore, it is necessary to track this optimal rotational turbine speed (MPPT) [17][18][19]: to provide the maximum mechanical power from the wind [20]. The Magnus wind system tracks the net power net (8) on the turbine shaft, discounting the power consumed cons by the driving system (servo drive DC and BLDC motor) of the rotating cylinder:…”

MPPT for Magnus wind system with DC servo drive for the cylinders and boost converter

“…There is an optimal rotational speed of the turbine which produces maximum mechanical shaft power. Therefore, it is necessary to track this optimal rotational turbine speed, (MPPT) [13,14,15].…”

Design and Study on Sliding Mode Extremum Seeking Control of the Chaos Embedded Particle Swarm Optimization for Maximum Power Point Tracking in Wind Power Systems

“…Bharanikumar et al [12] and Zou et al [13] expounded the MPPT of different turbine types of generator. Wind turbines mostly use a double fed induction generator (DFIG) [14] and permanent magnet synchronous generator (PMSG) [15]. Pan et al [16] used MPPT simulation of DFIG wind power system parameters based on SMESC, but the SMESC given U 0 is a fixed value, not the optimized parameter, and the DFIG is controlled by multiple converters, meaning that the cost is certainly higher than PMSG, and it is also more complicated than PMSG.…”