B. Habib, Boudjema Zinelaabidine, Belidi Abdelkader
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引用次数: 2
Abstract
This work presents the comparison study between neural super-twisting sliding mode control (NSTSM) and adaptive-network-based fuzzy inference system-STSM (ANFIS-STSM) algorithm of the doubly fed induction generator (DFIG) controlled by direct power control (DPC). The mathematical model of the three-phase DFIG has been described. The descriptions of the DPC strategy, NSTSM and the ANFIS-STSM algorithm have been presented. The DPC strategy with NSTSM and ANFIS-STSM has been described. The simulation studies of the DPC strategy with intelligent STSM algorithms have been performed, and the results of these studies are presented and discussed.
期刊介绍：
International Journal of Energy, Environment, and Economics publishes original research papers that shed light on the interaction between the utilization of energy and the environment, as well as the economic aspects involved with this utilization. The Journal is a vehicle for an international exchange and dissemination of ideas in the multidisciplinary field of energy-environment-economics between research scientists, engineers, economists, policy makers, and others concerned about these issues. The emphasis will be placed on original work, either in the area of scientific or engineering development, or in the area of technological, environmental, economic, or social feasibility. Shorter communications are also invited. The Journal will carry reviews on important issues, which may be invited by the Editors or submitted in the normal way.
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