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Titlebook: Advances in Control Power Systems and Emerging Technologies; The Proceedings of t Mohamed Bendaoud,Amine El Fathi,Siano Pierluigi Conferenc

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https://doi.org/10.1007/978-3-031-51796-9Intelligent controls; smart grid; Renewable Energy Systems; interdisciplinary solutions; power conversio
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978-3-031-51798-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Cerebral Cortex: Molecular Layer (Layer I),roposes an improvement to the conventional DTC method. The proposed development involves changing the switching table to a new distribution of zones while still using twelve sectors. The achievements of this approach are reduced distortion and smoother sinusoidal shapes of the stator current. Simula
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https://doi.org/10.1007/978-3-642-59425-0 the context of controlling the speed of a DC motor. The study focuses on three fitness functions: integral absolute error (IAE), mean squared error (MSE), and integral of time-weighted absolute error (ITAE). The GA is employed to iteratively adjust the PID gains (., ., .) to optimize the control sy
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https://doi.org/10.1007/978-3-642-59425-0proposed architecture is composed of a PV panel of 600 W/peak, a power bloc containing a DC/DC boost converter, a load in the form of two identical heating plates, and a control bloc to supervise the system, collect, and display the electrical quantities. A 20 kHz PWM signal is used to control the b
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Cerebral Cortex: Molecular Layer (Layer I), and to turn to cost reduction by developing innovative approaches for connection to the electricity grid, thus contributing to the production of global electrical energy. In this chapter, we present the development of a power-integrated circuit, the TOSHIBA-TLP350 gate driver, for the realization o
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