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Publications by Author: M. Bahloul

2019
M. Bahloul, A. N. Vargas, L. C. Alaoui, S. Drid, and M. Chaabane, “Modified Robust Model Reference Adaptive System Scheme for a Speed Sensorless Vector Control of Induction Motor,” 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). pp. 473-478, 2019.Abstract
This paper presents a robust rotor speed sensorless control strategy for induction motor. The main purpose is to overcome the instability issue for zero/low speed operating mode while considering that the rotor resistance is subject to uncertainties or variations. A Modified Model Reference Adaptive System speed estimation scheme is presented, and its sensitivity to stator resistance mismatches is investigated. The proposed approach introduces a discrete reference and adjustable models of the motor. Moreover, an adaptive discrete speed estimation scheme is synthesized on the basis of the extended Kalman filter technique. The proposed sensorless control scheme is tested using the professional Hardware simulator AMEsim (LMS). The obtained results confirm the superiority and ability of the proposed method compared to the classic Model Reference Adaptive System speed estimation scheme to guarantee a …
2018
M. Bahloul, L. C. Alaoui, A. N. Vargas, M. Chaabane, and S. Drid, “Online robust estimation of flux and load torque in induction motors,” The International Journal of Advanced Manufacturing Technology , vol. 94, no. 5-8, pp. 2703–2713, 2018.
M. Bahloul, L. C. Alaoui, S. Drid, M. Souissi, and M. Chabaane, “Robust Sensorless Vector Control of an Induction Machine Using Multiobjective Adaptive Fuzzy Luenberger Observer,” ISA Transactions, vol. 74, pp. 74, 144-154, 2018.
2016
M. Bahloul, M. Souissi, L. C. Alaoui, and S. Drid, “Fuzzy speed estimation in case of sensorless induction machine vector control ,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 24, pp. 3961–3975, 2016.
2015
M. Bahloul, L. C. Alaoui, M. Souissi, M. Chaabane, and S. Drid, “Robust Flux and Load Torque Estimation in Induction Machine,” 14 th International European Control Conference. 2015.
M. Bahloul, M. Souissi, M. Chaabane, L. C. Alaoui, and S. Drid, “TS Fuzzy Logic-Based Rotor Resistance Tuning in case of Induction Machine Vector Control,” Automatika-Journal for Control, Measurement, Electronics, Computing and Communications, vol. 56, N°.4, pp. 454–465, 2015.
M. Bahloul, M. Souissi, M. Chaabane, L. C. Alaoui, and S. Drid, “Fuzzy speed estimation in case of sensorless induction machine vector control ,” Turkish Journal of Electrical Engineering & Computer Sciences, 2015.
M. Bahloul, L. C. Alaoui, M. Souissi, M. Chaabane, and S. Drid, “Effective Fuzzy Logic Control of a Stand-alone Photovoltaic Pumping System,” the Journal of Renewable Energy Research, vol. 5, No.3, 2015.Abstract

This paper presents an effective control of a stand-alone batteryless photovoltaic (PV) pumping system. The whole design (configuration and control) is oriented in order to minimize the cost and maximize the effectiveness, the efficiency and the reliability of the whole system. Beyond the withdrawal of the battery and the rotor speed sensor, the system is composed only of a DC-DC boost converter, a DC-AC inverter, an Induction Motor (IM) and a centrifugal pump. In order to control the dc-link voltage and maximize the efficiency of the IM, a Fuzzy Logic Controller (FLC) is introduced. The validity and the effectiveness of the proposed FLC is tested and confirmed by a simulation under various climate changes.