Contribution to the Artifical Neural Network Speed Estimator in a Degraded Mode for Sensor-Less Fuzzy Direct Control of Torque Application Using Dual Stars Induction Machine

Recently one of the major topic of research is the involvement of the intelligence artificial in the control system. This paper deals with application of a new combination between two-control strategy known as fuzzy direct control of torque and then an adaptive Neuronal Speed estimator utilizing dual starts induction motor. The research discussed consist to replace the switching table used in the conventional direct control method and adaptive mechanism of the classic MRAS estimator with fuzzy controller and new neural network accordingly, both strategies can manage the degraded and normal modes. The neural networks used are the back-propagation, to reduce the training patterns and increase the execution speed of the training process. As results we achieved can be summarised as follows: 1) high degree of reliability of speed estimation even with using only one start voltages and currents and parameters; 2) Minimization of the torque and flux ripples; and                3) Minimization of the current total harmonic distortion

Direct space vector modulation for matrix converter fed dual star induction machine and neuro-fuzzy speed controller

This paper presents the modeling, design, and simulation of an adaptive neuro fuzzy inference strategy (ANFIS) for controlling the speed of the Double Star induction Machine (DSIM), the machine is fed by three phase direct matrix converter which makes directly AC-AC power conversion is modeled using Direct Space Vector Modulation technique(DSVM)  for direct matrix converter. Double star Induction motor is characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements. Hence it can be considered as a challenging engineering problem in the industrial sector. Various advanced control techniques has been devised by various researchers across the world. Some of them are based on the neuro-fuzzy techniques. The main advantage of designing the ANFIS coordination scheme is to control the speed of the DSIM to increase the dynamic performance, to provide good stabilization. To show the effectiveness of our scheme, the proposed method was simulated on an electrical system composed of a 4.5 kW six-phase induction machine and its power inverter. Digital simulation results demonstrate that the deigned ANFIS speed controller realize a good dynamic of the DSIM, a perfect speed tracking with no overshoot, give better performance and high robustness

A Neural Network Based Speed Control of a Dual Star Induction Motor

This paper propose the use of artificial neural networks to control the speed of a Double Star Induction Motor drives fed by a two matrix converter using Venturini modulation algorithm, The advent of the field oriented with modern speed control technique has partially solved DSIM control problems because it is sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. Neural network based controller is considered as potential candidates for such an application. In this work the simulations results are provided to evaluate performance of the proposed control strategy.DOI:http://dx.doi.org/10.11591/ijece.v4i6.634

DTC based on SVM for induction motor sensorless drive with fuzzy sliding mode speed controller

By using the direct torque control (DTC), robust response in ac drives can be produced. Ripples of currents, torque and flux are oberved in steady state. space vector modulation (SVM) applied in DTC and used for a sensorless induction motor (IM) with fuzzy sliding mode speed controller (FSMSC) is studied in this paper. This control can minimize the torque, flux, current and speed pulsations in steady state. To estimate the rotor speed and stator flux the model reference adaptive system (MRAS) is used that is designed from identified voltages and currents. The FSMSC is used to enhance the efficiency and the robustness of the presented system. The DTC transient advantage are maintained, while better quality steady-state performance is produced in sensorless implementation for a wide speed range. The drive system performances have been checked by using Matlab Simultaion, and successful results have been obtained. It is deduced that the proposed control system produces better results than the classical DTC

Development of a green corrosion inhibitor for use in acid cleaning of MSF desalination plan

A green and cost-effective inhibitor based on Date palm leaves extract was formulated for use during acid cleaning of thermal desalination plants. The inhibitor formulation designated as F1 was tested against the corrosion of ferrous-based alloys namely: carbon steel, Ni-resist, and 316L stainless steel in 2% HCl solution at 40 °C under static and hydrodynamic conditions. Weight loss and electrochemical methods complemented with scanning electron microscopy were used in the study. Experiments were performed for 6, 24, and 72 h and the performance of F1 was compared with that of a commercial acid corrosion inhibitor. F1 exhibited excellent corrosion inhibition performance. Under static and dynamic conditions, 0.4% of F1 provided excellent corrosion inhibition up to 72 h and comparable to the commercial inhibitor performance. The inhibitors (F1 and the commercial one) exhibited a behavior typical of a mixed type corrosion inhibitor in the studied environment according to the potentiodynamic polarization. Results from cyclic potentiodynamic polarization experiments excluded pitting corrosion risk on the 316L stainless steel in the studied medium. Results from all applied techniques are in good agreement

Dynamic replication strategies in data grid systems: A survey

In data grid systems, data replication aims to increase availability, fault tolerance, load balancing and scalability while reducing bandwidth consumption, and job execution time. Several classification schemes for data replication were proposed in the literature, (i) static vs. dynamic, (ii) centralized vs. decentralized, (iii) push vs. pull, and (iv) objective function based. Dynamic data replication is a form of data replication that is performed with respect to the changing conditions of the grid environment. In this paper, we present a survey of recent dynamic data replication strategies. We study and classify these strategies by taking the target data grid architecture as the sole classifier. We discuss the key points of the studied strategies and provide feature comparison of them according to important metrics. Furthermore, the impact of data grid architecture on dynamic replication performance is investigated in a simulation study. Finally, some important issues and open research problems in the area are pointed out

Étude de nouvelles formulations de peintures en poudre riches en zinc et contenant PANI

Zinc Rich Primers are widely used in industry to protect the metal structures against corrosive environment. Metal zinc is dispersed in a polymeric matrix in the form of fine dust. These particles must be in electrical contact between them and with the metal substrate, in order to be sacrified and to place the substrate under cathodic protection. However, currently available formulations do not exceed 50 % weight of zinc. This weak zinc rate induces a weak electrical contact in painting and requires the addition of other conducting species for a better cathodic protection. In the continuity of previous works using the carbon black as a conducting pigment, one proposed to study three new formulations containing a conducting polymer as conducting pigment. The results obtained are compared with those of a commercial formulation containing carbon black. The exploration of the mechanisms of protection of its formulations was carried out mainly thanks to the electrochemical spectroscopy of impedance. Microscopic analyses (SEM, EDS) and spectroscopic (Raman) made it possible to bring essential elements in the comprehension of the degradation of various primers in condition of immersion. Finally, an accelerated ageing with the salt sprays and an immersion in the presence of defect were carried out and studied in order to classify the various coatings in terms of protective qualities.Les peintures riches en zinc sont aujourd hui largement utilisées dans l industrie pour protéger les structures métalliques des environnements agressifs. Le zinc métallique est dispersé dans une matrice polymère sous forme de fine poussière. Ces particules doivent être en contact électrique entre elles et avec le substrat métallique (percolation), pour jouer le rôle de pigment sacrificiel et permettre de placer le substrat sous protection cathodique. Dans de nombreuses formulations de peinture poudre riches en zinc, la teneur en zinc ne dépasse pas 50 % en masse, induisant un faible nombre de contacts électriques. L'adjonction d'autres espèces conductrices, comme les polymères conducteurs, peut alors permettre d obtenir une meilleure protection cathodique. Dans la continuité des travaux antérieurs, utilisant le noir de carbone comme pigment conducteur, trois nouvelles formulations contenant la polyaniline (PANI) ont été étudiées et comparées à une formulation commerciale contenant le noir de carbone. L'exploration des mécanismes de protection de ses formulations s'est effectuée principalement grâce à la spectroscopie d'impédance électrochimique. Des analyses microscopiques (MEB, EDS) et spectroscopiques (Raman) ont permis d'apporter des éléments essentiels dans la compréhension de la dégradation des différentes peintures en condition d'immersion. Finalement, un vieillissement accéléré en brouillard salin et une immersion en présence de défaut ont été réalisés afin de classer les différents revêtements en termes de qualités protectrices.LA ROCHELLE-BU (173002101) / SudocSudocFranceF