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Dr. Marwa Hassan
Department of Construction Management, Louisiana State University, Baton Rouge 70803, LA, USA

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0 Artificial Intelligence
0 Electrical Machines
0 Power Systems
0 Renewable Energy
0 Robotics

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Book chapter
Published: 01 April 2020 in Advances in Modelling and Control of Wind and Hydrogenerators
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This chapter aims to investigate the effectiveness of the nonlinear control-based model and the sampled-data design through the power system application. In particular, the study will focus on a model of a wind turbine system fed by a doubly fed induction generator (DFIG). First of all, a detail dynamical model of a DFIG-based wind-turbine grid-connected system is presented in the direct and quadratic synchronous reference frame. Afterward, mathematical modeling is performed for the nonlinear and sampled data systems. The nonlinear control will ensure the reproduction of the rotor direct and quadratic current that converge to the reference signal generated from. The proposed sampled-data system is built upon the nonlinear model and is introduced as an alternative of the classical discrete control which is known as emulation design. The simulation’s results will show that implementing the approximate feedback will yield better results than the one obtained from the mere emulation.

ACS Style

Marwa Hassan. Nonlinear and Sampled Data Control of Wind Turbine. Advances in Modelling and Control of Wind and Hydrogenerators 2020, 1 .

AMA Style

Marwa Hassan. Nonlinear and Sampled Data Control of Wind Turbine. Advances in Modelling and Control of Wind and Hydrogenerators. 2020; ():1.

Chicago/Turabian Style

Marwa Hassan. 2020. "Nonlinear and Sampled Data Control of Wind Turbine." Advances in Modelling and Control of Wind and Hydrogenerators , no. : 1.