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In this paper, a maximum torque per ampere (MTPA) control strategy is presented for interior permanent magnet synchronous machines (IPMSMs) without current sensing or regulation. The developed control scheme achieves MTPA using a direct voltage control method, which varies the machine's stator voltage amplitude and angle. As such, no explicit current loop regulation is needed, which simplifies the...
A neural network controller is presented for the direct power control of a doubly fed induction generator (DFIG) in a wind turbine. Due to the variability of wind speed, aerodynamic control of the pitch angle of the turbine blades is necessary to capture maximum power from the wind. An alternative control strategy for tracking the maximum power that can be extracted is by accurate control of the turbine...
Accurate control of the wind turbine at its optimal rotational speed for a given wind speed is required to extract maximum power from the wind turbine generator system in the absence of aerodynamic pitch control. Due to inherent wind turbine nonlinearities and unpredictable wind speed fluctuations, precise control is a difficult task to undertake. This paper presents a sliding mode speed controller...
This paper introduces a simple adaptive fuzzy controller structure for permanent magnet synchronous machines (PMSMs). Unlike many PMSM-based control techniques, the proposed strategy achieves tracking with no current loop regulation which yields reduced complexity. A simple and effective method is used to set d-axis voltage of the machine to achieve good machine's efficiency. The control scheme and...
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