Claim Missing Document
Check
Articles

Found 3 Documents
Search

Online position error correction technique for sensorless control of multipole permanent magnet machines Aissou, Said; Amirouche, Elyazid; Iffouzar, Koussaila; Ghedamsi, Kaci; Aouzellag, Djamal
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp1929-1936

Abstract

In order to improve the reliability of electric machine drive systems, the position encoder is often replaced with an estimator, such as the extended Kalman filter. However, estimation errors can still occur, especially in machines with high pole number, commonly used in renewable energy systems. The high number of pole pairs amplifies the effect of estimation errors, leading to a substantial divergence between actual and controlled currents, potentially causing harm to the machine through the excessive heat generation or demagnetization of permanent magnets. To address this issue, an error compensation method has been proposed and tested in a control scheme for a tidal stream system based on a multipole dual-star permanent magnet synchronous generator. The method estimates the position error by determining the q-axis permanent magnet flux and correcting it through a PI regulator. Simulation results demonstrate the effectiveness of the proposed method, even with a non-null initial rotor position.
Experimental determination of minimum capacitor for self-excitation of induction generators Sibrahim, Madjid; Aissou, Said; Rouas, Rabah; Haddad, Salah; Benamrouche, Nacereddine
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp109-116

Abstract

This article addresses the issue related to determining the minimum capacitor required for the self-excitation of an induction generator. The determination of the minimum capacitance required for the self-excitation of a self-excited induction generator has already been the subject of several previous studies. It has been shown that the minimum capacitance depends on the rotation speed and the remanent magnetism. The study carried out in this paper shows that, in addition to the rotation speed and the remanent magnetism, there is a third parameter that has an influence on the self-excitation process, which is the acceleration or, in other words, the rotation speed ramp-up. In this paper, several experimental self-excitation tests for different values of the rotation speed ramp-up are carried out, leading to new characteristics of the minimum self-excitation capacitance as a function of the rotation speed. The results obtained from simulation and experimental studies prove the efficacy of the proposed approach.
Sustainable energy empowerment in remote regions wind-solar system with intelligent management Rouas, Rabah; Sibrahim, Madjid; Aissou, Said; Haddad, Salah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i1.pp86-95

Abstract

This paper presents a device designed to provide continuous electrical energy to isolated areas where connection to the power grid is expensive and unprofitable. This objective is achieved through a system that combines a wind turbine and photovoltaic panels as primary energy sources, with storage batteries and a diesel generator serving as backup sources. The main contribution of this work is characterized by the ability to ensure uninterrupted electrical power supply, even on days when renewable energy sources are less favorable. This intermittency is due to the random nature of these sources, as well as their dependency on weather and climatic conditions. Therefore, we sized each component of the hybrid system to meet the maximum required load individually under the most favorable conditions. We then modeled each energy conversion chain and developed power control laws to ensure effective set point tracking. Finally, we implemented a hierarchical energy management algorithm to define the operating modes of the hybrid system's sources, aiming to produce as much power as the load requires while prioritizing the use of renewable energy sources to minimize reliance on the storage system and the diesel generator.