F. Betin

Université de Picardie Jules Verne, Amiens, Picardie, France

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Publications (67)58.35 Total impact

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    ABSTRACT: Control techniques for electrical machines have been applied for many years to what are called electrical drives (EDs) or adjustable speed drives (ASDs), which are part of almost 25% of applications of electrical machines in the industry. Therefore, this technology has followed the evolution of performances of both power converters and electrical actuators or generators for more than 50 years and the invention of silicon-controlled rectifiers. The aim of this article is not to cover a survey of EDs or ASDs since it has already been covered recently [1] but rather to present trends of the control part related to this technology. Of course, the control part is fully dependent of the power part and cannot be treated as a stand-alone technique.
    IEEE Industrial Electronics Magazine 01/2014; 8(2):43-55. · 3.76 Impact Factor
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    ABSTRACT: In this paper, an advanced control technique using fuzzy logic tuned by a genetic algorithm is proposed in order to obtain a high accuracy positioning of a six-phase induction machine. The proposed control scheme is fully insensitive to mechanical configuration changes as well to loss of one up to three phases. The effectiveness of the method has been validated experimentally using a dedicated set-up based on a 90W-2 pole squirrel-cage induction machine and a 42V dc bus.
    Electrical Machines Design Control and Diagnosis (WEMDCD), 2013 IEEE Workshop on; 01/2013
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    IEEE Industrial Electronics Magazine 01/2013; 7(2):57-57. · 3.76 Impact Factor
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    ABSTRACT: This paper presents the steady-state per phase equivalent electric circuit of the dual-rotor Permanent Magnet Induction Machine (PMIM), a method for the identification of parameters and a control strategy using a co-simulation between a FEM software and system simulation software. In order to develop a control strategy for the dual-rotor PMIM, one needs to estimate first the electric parameters (resistances, reactances) of the per-phase equivalent electric circuit. Each parameter of the circuit is discussed separately and comparative analytical and numerical techniques are proposed for their computation. Then, a two loops control strategy of the machine based on the Field Oriented Control (FOC) and Scalar Control (SC), is proposed and applied to the PMIM.
    Electric Machines & Drives Conference (IEMDC), 2013 IEEE International; 01/2013
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    ABSTRACT: This paper introduces a new technique for efficiency optimization of 6-phase induction motor (6PIM) drive, based on fuzzy online search control (SC) method. The modified SC algorithm does not require extra hardware and is insensitive to motor parameters. The results are compared to classic loss model control (LMC) efficiency optimization algorithm in healthy and faulted operational mode due to up to three stator open phases. The experimental results obtained on a dedicated test-bed validate the efficiency of the proposed method.
    Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on; 01/2013
  • Franck Betin, Gérard-André Capolino
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    ABSTRACT: In this paper, a new variable structure control law is proposed in order to obtain the shaft positioning of a symmetrical six-phase induction machine when phases are lost and when large variations of inertia occur. The algorithm based on a time-varying switching line guarantees the existence of a sliding mode since the beginning of the shaft motion. Indeed, the surface is first designed to pass through the initial representative point and, subsequently, to move toward a predetermined desired surface via shifting. With this algorithm, the induction machine behavior is exactly the same in healthy or in faulted modes when one or more stator phases are lost and whatever the mechanical shaft configuration is. The capacities of this control technique with a mechanical sensor have been tested in simulation and then validated experimentally on a specific setup.
    IEEE Transactions on Industrial Electronics 01/2012; 59(6):2612-2620. · 6.50 Impact Factor
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    ABSTRACT: This paper presents an analytical design algorithm and a finite element method (FEM) analysis of a novel type of machine, the dual-rotor Permanent Magnet Induction Machine. The algorithm is based on the simplified Magnetic Equivalent Circuit (MEC) of the machine. After presenting the sizing procedure, the main results obtained via FEM computation are analyzed. Two possible configurations of the PM rotor are studied and compared in terms of developed electromagnetic torque, Joule and iron losses, and electromagnetic field capabilities.
    Electrical Machines (ICEM), 2012 XXth International Conference on; 01/2012
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    ABSTRACT: The present paper proposes an investigation of the thermal phenomena caused by Joule losses and iron losses in a novel electric machine, the dual-rotor Permanent Magnet Induction Machine (PMIM). Empirical dimensionless formulations for the computation of convection heat transfer coefficients in each region of the machine are employed together with 3D FEM computation to predict temperature distribution. The analysis of the thermal behavior is equally as important as its electromagnetic design because improper heat transfer design of electrical machines can lead to material damage. The presence of the permanent magnets makes this study essential as it is required to verify that the temperature of demagnetization is not reached.
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society; 01/2012
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    ABSTRACT: In this work, application of fractional-order proportional-integral-derivative (FOPID) controller is proposed for position control of six-phase induction machine (6PIM) in healthy and faulty mode due to open phases. This paper employs genetic algorithm (GA) to carry out the FOPID design procedure. GA is a stochastic global search optimization technique based on the mechanisms of natural selection. A novel cost function is defined to facilitate the control strategy over both the time-domain and the frequency-domain specifications.
    Electrical Machines (ICEM), 2012 XXth International Conference on; 01/2012
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    ABSTRACT: In this paper, the parameters choice of a fuzzy logic regulator used to control the position of a six-phase induction motor for a car steering is performed. Indeed, with the presence of an electronic stability controller (ESC), the braking on the four wheels is controlled and the correction of the direction to adjust the path of the vehicle is also made. Obviously, the position control should never present on overshoot and should be insensitive to the mechanical loads, and it has to operate in faulted mode as well (when electrical machine phases are missing). In this paper, a fuzzy logic controller applied to a six phase induction machine has been developed to realize an effective position control. Some experimental tests in healthy and faulty (1, 2 and 3 missing phases) modes were performed to check the robustness and the accuracy of this controller. In addition, a study concerning the position errors of each operating case will be presented.
    Electrical Machines (ICEM), 2012 XXth International Conference on; 01/2012
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    ABSTRACT: This paper deals with the development of a virtual platform for a Web-based remote application dedicated to condition monitoring and fault detection for ac electrical machines. The platform is based on several tools developed by using the LabVIEW software. Various techniques of condition monitoring and diagnosis of electrical and mechanical faults in ac electrical machines have been integrated such as the broken rotor bar, winding short circuit, bearing damage, or static/dynamic eccentricities. The main features are related to a user-friendly interface, a low-maintenance source code, and a standardized database for ac electrical machine diagnosis. The platform architecture, as well as three different test-rig configurations, has been described. The complete system can be controlled in both local and remote modes by using a simple Internet connection. Some remote experiences have been carried out between the University of Picardie “Jules Verne,” Amiens, France, and the University of Bologna, Bologna, Italy, to verify the effectiveness of the proposed system. The direct applications of this original package are based on diagnosis techniques applied to ac electrical machine faults. Some examples of rotor broken bar detection using classical techniques have been presented to show the effectiveness of the proposed platform. Further information will soon be available on the Open European Laboratory on Electrical Machines Web site: www.oelem.org.
    IEEE Transactions on Industrial Electronics 11/2011; · 6.50 Impact Factor
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    ABSTRACT: In this paper, the problem of colour image segmentation is addressed using the Dempster–Shafer (DS) theory. Examples are provided showing that this theory is able to take into account a large variety of special situations that occur and which are not well solved using classical approaches. Modelling both uncertainty and imprecision, and computing the conflict between images and introducing a priori information are the main features of this theory. Consequently, the performance of such a segmentation scheme is largely conditioned by the appropriate estimation of mass functions in the DS evidence theory. In this paper, a new method of automatically determining the mass function for colour-image segmentation problems is presented. The mass function of each pixel is determined by applying possibilistic c-means (PCM) clustering to the grey levels of the three primitive colours. A reliability criterion, associated with each pixel and the mass functions of its neighbouring pixels, is used into a fuzzy based reasoning system in order to decide on the appropriate segmentation. Experimental segmentation results on medical and textured colour images highlight the effectiveness of the proposed method. KeywordsDempster–Shafer’s evidence theory-Data fusion-Conflict-Fuzzy clustering-Possibilistic approaches
    Circuits Systems and Signal Processing 01/2011; 30(1):55-71. · 0.98 Impact Factor
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    ABSTRACT: In this paper, a fuzzy PI (FPI) controller is proposed for position control of six-phase induction motor (6PIM). The fuzzy controller is tuned by using the genetic algorithm so that a high performance of the overall system's response can be achieved. The performance and the robustness of the control system are tested for fully loaded and widely load inertia variations. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests of both control techniques.
    01/2011;
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    ABSTRACT: This paper presents a new approach to the sensorless position control of six-phase induction machine (6PIM). A fuzzy-PI (FPI) system has been employed to estimate the rotor position and avoid using mechanical sensor. Also, high-accuracy positioning of a 6PIM rotor can be obtained using such FPI system in model control loops. The input-output scale factors of all FPI systems are tuned using genetic algorithms to achieve better results. The proposed scheme is validated through experimental results, and it is demonstrated that an FPI configuration is attainable to implement rotor position estimation and control in 6PIM drives.
    01/2011;
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    ABSTRACT: This paper presents a new approach to the sensorless speed control of six-phase induction machine (6PIM). The new technique uses an Adaptive Neural Fuzzy Inference Systems (ANFIS) as a rotor speed estimator to avoid using mechanical sensor. This makes the reference model free of pure integration and less sensitive to stator resistance variations. The ANFIS has been trained offline to estimate the rotor speed in wide range of operation and has been implemented online to perform field-oriented control of 6PIM. The data for training the ANFIS are obtained from experimental measurements based on the current model, avoiding voltage and flux sensors and has the advantage of considering all drive nonlinearities. Control loops of rotor speed and stator currents employ Fuzzy-PI (FPI) controller. The input-output scale factors of all FPI systems are tuned using Genetic Algorithms (GA) to achieve better results. Experimental results prove that the proposed method has high precision and good dynamic quality in speed estimation and control of 6PIM.
    01/2011;
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    ABSTRACT: In this paper, a fuzzy PI (FPI) controller tuned using genetic algorithms (GA) is proposed for position control of six- phase induction motor (6PIM). The performance and the robustness of the control system are tested for healthy and several faulted operational modes and rotor inertia variations. The FPI controller presents many advantages such as satisfactory control performance under a wide range of operating conditions. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests. High performance control of variable speed induction motor drives can be achieved by means of field oriented control which is based on decoupling of the torque and flux producing components of the stator current (4). The conventional controllers which are designed using the mathematical model of the system are not suitable when the load is nonlinear and uncertainties exist and robust and adaptive controllers have to be used.
    01/2011;
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    ABSTRACT: The aim of this paper is to develop a technique for detecting an inter-turn short-circuit in a wound rotor induction machine working as generator by using the bispectral analysis. Bispectral analysis is able to provide more information than power spectrum analysis. In the present investigation, the rotor and stator currents of the machine operating in both healthy and faulty modes are thoroughly analyzed. In the first stage, the bispectral analysis is applied to signals generated by a wound-rotor induction machine model developed by using MATLAB/Simulink<sup>©</sup> environment. This model allows the simulation of the inter-turn short circuit in the stator of the machine in any system with control circuits and/or connections to the grid by means of power electronics converters. Then, the same analysis has been performed using experiments on a 5.5kW--220V/380V - 50Hz - 8 poles wound-rotor induction machine working in both healthy and faulty modes at different load conditions. Finally, a comparison between simulation and experimental results is given. Very promising results are obtained and presented. The results and the analysis indicate that bispectrum can be successfully applied to machine asymmetric faults, and stator winding fault analysis.
    Energy Conversion Congress and Exposition (ECCE), 2010 IEEE; 10/2010
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    ABSTRACT: In this paper, a new variable structure position control law for a Six Phase Induction Machine (6PIM) is proposed. The algorithm based on a time-varying switching line guarantees the existence of sliding mode since the beginning of the shaft motion. Indeed, the surface is initially designed to pass through the initial representative point and subsequently moved towards a predetermined desired surface via shifting. By this mean, the reaching phase is eliminated and the motor behavior is insensitive to unknown mechanical configuration changes.
    Energy Conversion Congress and Exposition (ECCE), 2010 IEEE; 10/2010
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    ABSTRACT: This paper deals with a new variable structure position control law for a Six Phase Induction Machine (6PIM) that is based on time-rotating switching surface. This algorithm guarantees the existence of sliding mode since the beginning of the shaft motion. Indeed, the surface is initially designed to pass through the initial representative point and subsequently moved towards a predetermined desired surface via rotating. By this mean, the reaching phase is eliminated and the motor behavior is insensitive to unknown mechanical configuration changes.
    Electrical Machines (ICEM), 2010 XIX International Conference on; 10/2010