ESIEE Amiens

Amiens, France

ESIEE Amiens

Amiens, France
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Beye M.,ESIEE Amiens | Elsied M.,ESIEE Amiens | Mabwe A.M.,ESIEE Amiens | Onambele C.,University of Picardie Jules Verne
Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017 | Year: 2017

This paper introduces an advanced application for the T-type five-level inverter (T5). The T5 will be used in this work to inject power generated from renewable energy sources (RESs) to the utility grid. An enhanced space vector PWM (SVPWM) algorithm is used as the modulation technique of this inverter. A closed loop power control is implemented to deliver the required reference voltages for SVPWM algorithm in order to control the inverter power flow at AC side. The T5 and its control system are demonstrated, analyzed and discussed with extensive MATLAB/Simulink simulation studies to evaluate the inverter output power. The results show that the proposed inverter has a significant improvement in the quality of the injected power to the grid which makes it a good candidate for the grid interconnection applications. © 2017 IEEE.

Onambele C.,University of Picardie Jules Verne | Mpanda A.,University of Picardie Jules Verne | Elsied M.,ESIEE Amiens | Giacchetti F.,University of Picardie Jules Verne
2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2017 | Year: 2017

Multiphase motors are being used in high power electric transportation applications owing to their advantage such as high reliability, efficiency and fault-tolerant capability. A high power density drive system is needed to reduce the losses and increase heat-sinking capability. In this paper, the power drive module is packed using Silicon Carbide (SiC) MOSFET devices as they are capable of operating at high voltage, high frequencies and low reverse recovery current. The impact of SiC module on the performance and efficiency of a multiphase drive system for fault-tolerant applications is evaluated and tested in the platform of 120kW multi-phase permanent magnet (PM) motor with different operating conditions. The results show that the dynamic performance and efficiency of the power drive are significantly improved based on the SiC MOSFET devices. © 2017 IEEE.

Sital-Dahone M.,University of Akron | Saha A.,University of Akron | Sozer Y.,University of Akron | Mpanda A.,ESIEE Amiens
Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC | Year: 2017

A fault detection (FD) algorithm for multiple device open circuit fault (OCF) in neutral-point-clamped(NPC) inverter is proposed in this paper. The present algorithm is based on the average current park vector (ACPV) method. The FD circuit proposed is independent of the load, only the three-phase output current of the converter is needed. The efficiency of this method has already been verified for OCF diagnosis in three-level inverter with only one faulty switch. This research extends the ACPV method for the diagnosis of multiple faulty switches in one phase leg for three-level NPC inverter. The method has been analyzed extensively and a signature table is proposed for three-level NPC considering all possible fault cases. The proposed signature table is verified using Matlab/Simulink software for the integration of a permanent magnet motor. © 2017 IEEE.

Pantea A.M.,ESIEE Amiens | Aroquiadassou G.,ESIEE Amiens | Mabwe A.M.,ESIEE Amiens | Martis C.S.,Technical University of Cluj Napoca
SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion | Year: 2012

The aim of the work described in this paper is to present a real-time Sensorless Vector Control method (SVC) of Induction Machines (IM) using an FPGA board. It's well known that the performance of sensorless control of induction motor drives is generally poor, especially at low speed due to measurement accuracy (offset, voltage distortions, current unbalances, machine parameter variation etc.). The approach used in this article refers to the real-time Extended Kalman Filter (EKF) to overcome the incertitude of the measurement by considering noise. From the measurement of stator voltages and currents, the rotor speed of the Induction Motor is estimated in real time. The results obtained from SVC are then compared to standard Vector Control (VC) which uses a speed sensor. Tests in different conditions demonstrate excellent steady-state operation and good dynamic performance. © 2012 IEEE.

Li X.,ESIEE Amiens | Seignez E.,CNRS Fundamental Electronics Institute | Lu W.,CNRS Fundamental Electronics Institute | Loonis P.,ESIEE Amiens
IEEE Intelligent Vehicles Symposium, Proceedings | Year: 2014

Vehicle safety is the study and practice for minimizing the occurrences and consequences of traffic accidents. It is found that driver behaviors such as drowsiness, impaired driving and distraction are contributing factors to traffic accidents. In complex road surroundings, comprehensive analysis is more robust than separate evaluations which are broadly proceeded with. In this paper, we propose a vision-based nonintrusive system involving lane and driver's eye features to analyze driver behaviors. In the framework of evidence theory, evaluations of driver drowsiness and distracted and impaired driving performance are integrated to evaluate vehicle safety in real time. The system was validated in real world scenarios, and experimental results demonstrate that it is promising to improve the robustness and temporal response of vehicle safety vigilance. © 2014 IEEE.

Li X.,ESIEE Amiens | Seignez E.,CNRS Fundamental Electronics Institute | Loonis P.,ESIEE Amiens
IEEE Intelligent Vehicles Symposium, Proceedings | Year: 2013

Driver drowsiness influences critically the driving safety and the lack of discerning the drowsy level precisely causes failure to take measures to prevent the accidents. In this paper, a novel intelligent surveillance system is proposed to estimate driver drowsiness based on the Observer Rating of Drowsiness (ORD) model integrated into evidence theory via fusion of lane and eye features. ORD is a subjective assessment of drowsiness that is reflected in people's physical appearance, behaviors and mannerisms. Its drowsiness model in five levels, which acts as the framework in evidence theory, is used to describe the driver's state. Based on expert knowledge and data statistics, various visual eye features are studied to enhance the robustness of this system. The system is validated in real world scenarios, and experiment results demonstrate that it is promising to improve the robustness and temporal response of driver surveillance in real-time. © 2013 IEEE.

Figueredo R.,ESIEE Amiens | Sansen P.,ESIEE Amiens
Mechanics Based Design of Structures and Machines | Year: 2014

This paper investigates the kinematics optimization of the mechanical scissor systems of tipping. Lagrangian formalism in mechanics and genetic algorithms (GAs) are used respectively as analyzer and optimizer. Thus, multiobjective functions are considered and based on the reaction force of the hydraulic cylinder and the size of the whole mechanical system to obtain a final optimum one, more resistant and lighter. Two kinds of kinematics are optimized: a classical one which is usually adopted in industry and a suggested one including modifications. All optimized results are compared to the original one to demonstrate the effectiveness of the proposed methodology. © 2014 Copyright Taylor & Francis Group, LLC.

De Rybel T.,University of British Columbia | Singh A.,University of British Columbia | Pak P.,ESIEE Amiens | Marti J.R.,University of British Columbia
IEEE Transactions on Power Delivery | Year: 2010

An online signal injection approach based on a special current transformer is proposed as part of a solution for improving the test setup of transfer function diagnostics of transformers. However, the method is general and applicable to many types of substation equipment, such as circuit breakers and transmission lines. The system allows a high-power, high-frequency test signal to be injected directly on a high-voltage bus of an energized system. Due to the self-contained nature of the injector, no external power supplies or signal generators are needed and the design does not need to be ground-referenced. The system can thus be at the bus potential. In conjunction with wireless communication for control, no isolator bushings are required and the device can be constructed as a sleeve to be mounted around the busbar. This allows for economical retrofitting to existing installations. In this paper, the operational need for such an injection device is discussed, followed by the theory behind the proposed concept. Finally, a low-voltage, optically controlled, self-powered prototype is designed and demonstrated online to show the practical validity of the concept. © 2010 IEEE.

Li X.,ESIEE Amiens | Seignez E.,ESIEE Amiens | Loonis P.,ESIEE Amiens | Lambert A.,LIVIC
Proceedings - 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012 | Year: 2012

Driving inattention is one of the most serious traffic accidents cause whereas a monitoring system of the driver's vigilance could be used as a prevention. In this paper, we propose an intelligent system that estimates the driver fatigue using combination of lane tracking and face detection fused via Dempster-Shafer theory. The approach is aimed to estimate the fatigue based on the expert knowledge for driving vigilance. The method can compensate for the impact of poor detection and improve the accuracy of fatigue alerting. © 2012 IEEE.

Li X.,ESIEE Amiens | Seignez E.,ESIEE Amiens | Loonis P.,ESIEE Amiens
2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 | Year: 2012

In this paper, driving drowsiness detection based on visual features offers a noninvasive solution to detect the driver's state. Fusion with lane and driver features is addressed in order to complement each other once any visual signs failed. Given uncertainty exists greatly, Dempster-Shafer theory is used to improve the accuracy of detection while reliability is given to present the data's robustness. Experimental results demonstrate that the performance of driving drowsiness vigilance is enhanced in the proposed framework and efficiently tolerates the failure of feature collection. © 2012 IEEE.

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