Bana, P.R. and Amin, M. (2021) Adaptive Vector Control of Grid-Tied VSC Using Multilayer Perceptron-Recurrent Neural Network. IECON 2021—47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, 13-16 October 2021, 1-6.
https://doi.org/10.1109/iecon48115.2021.9589975

has been cited by the following article:

• TITLE: Speed Regulation of a Mill Driven by an Asynchronous Machine Powered by Photovoltaic Solar Energy: Modeling, Control and Optimization

  AUTHORS: Abdoulaye Kebe, Papa Demba Ba, Ibrahima Gueye, Abdoulaye Sall, Cheikh Sene

  KEYWORDS: Photovoltaic Generator, Boost Converter, MPPT, Inverter, Asynchronous Motor, Artisanal Mill

  JOURNAL NAME: Energy and Power Engineering, Vol.17 No.3, March 31, 2025

  ABSTRACT: This paper focuses on the speed control of a mill driven by an Asynchronous Motor (AM) powered by a solar photovoltaic energy source. As solar energy gains importance in the energy transition, artisanal mills are showing promise in improving rural life. However, speed variations caused by solar irradiance can affect their efficiency. The study proposes a comprehensive modeling of the system and explores advanced control strategies and optimization methods to optimize the performance. Traditional control approaches based on Foc and scalar strategies are examined, and the optimization considers the control and design parameters of the photovoltaic system. The results obtained by simulations in Simulink confirmed the performance of the strategies with good speed control regardless of the variation of load and irradiation.