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.
AbstractThis 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 …
M. Sellali, S. Abdeddaim, A. Betka, A. Djerdir, S. Drid, and M. Tiar, “
Fuzzy –Super twisting control implementation of battery/super capacitor for electric vehicles,”
ISA transactions, 2019.
AbstractThe present paper deals with a real-time implementation of a novel Fuzzy logic energy management strategy (EMS), applied to a battery–super capacitor hybrid energy system and associated with a permanent magnet synchronous motor (PMSM) which emulates the traction part of an electric vehicle (EV). On the sources side, the fuzzy logic supervisor acts in a smart way to permute smoothly between the various operations modes via an efficient power frequency splitting. In addition, it permits a quite regulation of both the DC bus and the super-capacitor (SC) voltages regardless of the speed profile variations to ensure an optimal power flow to the load and to keep the SC operation in a safe voltage range while providing or absorbing power in transients. On the traction side, a second order sliding mode control called ‘super-twisting’ (ST), associated with a space vector modulation (SVM) strategy is applied to ensure …
M. Sellali., A. Betka, S. Drid, A. Djerdir, L. Allaoui, and M. Tiar, “
Novel control implementation for electric vehicles based on fuzzy-back stepping approach,”
Energy, vol. 178, pp. 644-655, 2019.
AbstractThe present paper deals with a real-time assessment of a fuzzy –backstepping based control applied to a battery-supercapacitor (SC) hybrid energy storage system (HESS). To properly emulate the behavior of an electric vehicle, the proposed topology is extended to a PMSM drive, that represents the traction part. The proposed control scheme is divided into two parts: The first part plans a fuzzy logic power management approach, to operate the system in a smart way: First, It ensures an optimal load power-sharing, focusing the operation of the involved sources in a safe mode. Second, a quite regulation of both the dc bus and the SC voltage without additional controllers. The second part proposes a back-stepping direct torque control (BS-DTC), associated to a space vector modulation (SVM) strategy, to ensure decoupled torque and flux control of the PMSM machine. The experimental results, conducted on a small …
M. Tiar, A. Betka, S. Drid, S. Abdeddaim, M. Sellali, and S. Medjmadj, “
Fault-tolerant control of a smart PV-grid hybrid system,”
IET Renewable Power Generation, vol. 13 N° 13, pp. 2451-2461, 2019.