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Berrahou A.,Mohammed V University | Sefrioui N.,Mohammed V University | Diouri O.,University of Montreal | Eleuldj M.,Mohammadia Engineering School
International Review on Computers and Software | Year: 2014

In this article we will address the multi-objective exploration problem of heterogeneous resources in embedded systems. The solution searched is to minimize the cost of execution and communication based on the following constraints: tasks with precedence constraints, deterministic scheduling (the execution time of each task is known), communication model, distributed platform with uniform cores, load balancing, size of memories associated… For this, we used linear programming with boolean variables communally know by BIP (Binary Integer Programming) as a method of multi-objective optimization to find the optimal solutions. The choice of such a method is motivated by the fact that it allows the realization of solutions called high-performance Pareto. Although this problem is NP-complete, this method provides optimal solutions in reasonable computation time. It determines in a single execution an optimal solution and this even if the problems are not convex. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.

Douiri M.R.,Mohammadia Engineering School | Cherkaoui M.,Mohammadia Engineering School
WSEAS Transactions on Circuits and Systems | Year: 2014

This paper presents a detailed study of the extended Kalman filter (EKF) for estimating the rotor resistance and rotor speed of an induction motor drive. The overall structure of the EKF is reviewed and the various system vectors and matrices are defined. By including the rotor resistance and rotor speed as a state variables, the EKF equations are established from a discrete two-axis model of the three-phase induction motor. The investigations show that the EKF is capable of estimating the rotor resistance and capable of tracking the actual rotor speed provided that the elements of the covariance matrices are properly selected. Moreover, the performance of the EKF is satisfactory even in the presence of noise or when there are variations in the induction machine parameters.Copyright © 2014 - All Rights Reserved.

Douiri M.R.,Mohammadia Engineering School | Cherkaoui M.,Mohammadia Engineering School
Frontiers in Energy | Year: 2013

In this paper, three intelligent approaches were proposed, applied to direct torque control (DTC) of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzy logic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS). The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inference system based direct torque control (ANFIS-DTC). Compared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC), and neural networks based direct torque control (NNDTC), the proposed ANFIS-based scheme optimizes the electromagnetic torque and stator flux ripples, and incurs much shorter execution times and hence the errors caused by control time delays are minimized. The validity of the proposed methods is confirmed by simulation results. © 2013 Higher Education Press and Springer-Verlag Berlin Heidelberg.

Bennis K.,Mohammadia Engineering School | Bahi L.,Mohammadia Engineering School
Journal of Theoretical and Applied Information Technology | Year: 2014

The purpose of this paper is to present a hybrid methodology combining Geographic Information Systems (GIS), Fuzzy Analytic Hierarchical Process (FAHP) and stakeholder's judgment. This multi-level decisionmaking tool captures the ambiguity and impreciseness in decision making judgments, and results in a final priority ranking to site a new waste disposal area for the city of Tangier in the north of Morocco. The criteria at hand are spatial by nature and contribute differently to the choice-making process, the GISFAHP integration allows to deal with geospatial data while accounting for the tradeoffs of the criteria with regard to the main objective. In fact, the FAHP acts in a first time as a method of extracting the weights of each criteria/layer from a pair-wise comparison matrix, then, in a second time, FAHP acts as a method in selecting the best site from a set of most viable sites; the pair-wise comparison matrices are the result of stakeholders evaluation of all criteria, sub-criteria and sites. The set of most viable sites is obtained with the GIS tool in which we conducted the data preparation, each criterion is represented by a layer which is either extracted from remote sensing imagery or digitalization of local maps, a weighted linear combination (WLC) processes the layers and results in a map of suitability for landfill siting. © 2005-2014 JATIT & LLS. All rights reserved.

Fahassa C.,Mohammadia Engineering School | Sayouti Y.,University Sidi Mohammed Ben Abdellah | Akherraz M.,Mohammadia Engineering School
Proceedings of 2015 IEEE International Renewable and Sustainable Energy Conference, IRSEC 2015 | Year: 2015

The purpose of this paper is to address improvement of the dynamic and load torque rejection of the indirect field oriented control (IFOC), of an induction motor (IM), by replacing all proportional-integral (PI) controllers with intelligent components: fuzzy logic controllers (FLCs). The controllers substituted, are those of the speed and the stator currents of the IFOC. The performance of the proposed fuzzy control structure, of the IM, was studied in different operating conditions, and was compared with the PI control performance in the same conditions. Simulation tests prove the robustness and relevance of the unique structure of fuzzy logic control based IFOC, in different speed ranges with the application of a load. © 2015 IEEE.

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