Improved field oriented control for stand alone dual star induction generator used in wind energy conversion

This paper presents a novel direct rotor flux oriented control with online estimation of magnetizing current and magnetizing inductance applied to self-excited dual star induction generator equipping a wind turbine in remote sites. The induction generator is connected to nonlinear load through two PWM rectifiers. The fuzzy logic controller is used to ensure the DC bus voltage a constant value when changes in speed and load conditions. In this study, a performance comparison between the conventional approach and the novel approach is made. The proposed control strategy is validated by simulation in Matlab/Simulink

Optimal design of a DC MHD pump by simulated annealing method

In this paper a design methodology of a magnetohydrodynamic pump is proposed. The methodology is based on direct interpretation of the design problem as an optimization problem. The simulated annealing method is used for an optimal design of a DC MHD pump. The optimization procedure uses an objective function which can be the minimum of the mass. The constraints are both of geometrics and electromagnetic in type. The obtained results are reported

SPEED CONTROL OF PMSG SUPPLIED CLOSED LOOP PMSM DRIVE FOR WATER PUMPING SYSTEM

This paper introduces a standalone variable speed wind energy conversion system(WECS) based on permanent magnet synchronous Generator (PMSG) supplied permanent magnet synchronous Motor (PMSM) drive for water pumping system. Pumping water is a worldwide   need that is necessary for agriculture and the usage of wind energy conversion is a choice that is considered natural for that kind of applications. The Permanent magnet synchronous motor (PMSM) drive that is powered by high speed wind energy conversion system is investigated. The WECS application is inquired, in order to high light the wind speed effect on the WECS feeding the PMSM, where the speed of a PMSM drive is a function of wind speed. The proposed system consists of  WECS using PMSG, a rectifier converter, a three phase VSI (Voltage Source Inverter) and a PMSM coupled with a centrifugal water pump. The suggested control strategies are focused on Maximum Power Point Tracking (MPPT) for PMSG speed control, and DC-bus voltage management. Three phase VSI (Voltage Source Inverter) is also controlled to supply PMSM under change in wind speed in vector oriented mode. Some simulations are done using Matlab / Simulink software in order to show the control strategies performances

NONLINEAR FEEDBACK APPROACH BASED ON SLIDING MODE CONTROLLER FOR AN INDUCTION MOTOR FED BY MATRIX CONVERTER

In this paper, a nonlinear feedback linearization approach and sliding mode controller are combined to generate the reference voltages for a matrix converter controlled by DSVM strategy fed induction motor in order to preserve the robustness with respect to desired dynamic behaviors for this drive system. The transfer function and the selection approach of the parameter for the input filter are also introduced. The simulation results of the robustness testing of the drive system have been carried out to validate the advantages of the proposed control system

Comparative Study between Sliding Mode Control and the Vectorial Control of a Brushless doubly fed induction generator

Brushless doubly fed induction generators (BDFIG) show commercial promise forwind-power generation due to their lower capital and operational costs and higher reliability ascompared with doubly fed induction generators. This paper proposes a robust sliding mode control of grid-connected brushless doubly fed induction generator (BDFIG). The developed algorithm is based on the decoupling control by using oriented grid flux vector control strategy. The decoupling of the active and the reactive stator powers insures an optimal performance of the BDFIG at the sub-synchronous region. The stator of this machine incorporates two sets of three phase windings with different number of poles, power winding (PW) and control winding (CW). The proposed method is tested with the Matlab/Simulink software. Simulation results illustrate the performances and the feasibility of the designed control

SDTC Neural Network Traction Control of an Electric Vehicle without Differential Gears

International audienceThis paper proposes a Sensorless Direct Torque Control (SDTC) neural network traction control approach of an Electric vehicle (EV) without differential gears (electrical differential system). The EV is in this case propelled by two induction motor (one for each wheel). Indeed, using two electric in-wheel motors give the possibility to have a torque and speed control in each wheel. This control level improves the EV stability and the safety. The proposed traction control system uses the vehicle speed that is different from wheels speed characterized by slip in the driving mode, as an input. In terms of the analysis and the simulations carried out, the conclusion can be drawn that the proposed system is feasible. Simulation results on a test vehicle propelled by two 37-kW induction motors showed that the proposed SDTC neural network approach operates satisfactorily

A Loss-Minimization DTC Scheme for EV Induction Motors

International audienceThis paper proposes a strategy to minimize the losses of an induction motor propelling an electric vehicle (EV). The proposed control strategy, which is based on a direct flux and torque control scheme, utilizes the stator flux as a control variable, and the flux level is selected in accordance with the torque demand of the EV to achieve the efficiency-optimized drive performance. Moreover, among EV's motor electric propulsion features, the energy efficiency is a basic characteristic that is influenced by vehicle dynamics and system architecture. For this reason, the EV dynamics are taken into account. Simulation tests have been carried out on a 1.1-kW EV induction motor drive to evaluate the consistency and the performance of the proposed control approach

Design and Implementation of an Electric Differential for Traction Application

International audienceThe use of an Electric Differential (ED) constitutes a technological advance in vehicle design along with the concept of more electric vehicles. EDs have the advantage of replacing loose and heavy mechanical differentials and transmissions with lighter and smaller electric motors directly coupled to the wheels via a single gear or an in-wheel motor. This paper deals then with an Electric Differential System (EDS) for an Electric Vehicle (EV) directly driven by dual induction motors in the rear wheels. A sensorless control technique is preferred to a position or speed encoder-based control one to reduce the overall cost and to improve the reliability. The EDS main feature is the robustness improvement against system uncertainties and road conditions. The EDS control performances are validated through experiments on a dSPACE-based test bench. The experimental results show that the proposed controller is able to track the speed reference and the curvature angle with good static and dynamic performances

Sliding Mode Control of EV Electric Differential System

International audienceThis paper describes the sliding mode control of an electric differential system for Electric Vehicle (EV) with two induction motor drives (one for each wheel). In this case, the electric differential will manage the speed difference between the two wheels when cornering. The proposed sliding mode control approach is evaluated on an EV global model taking into account the vehicle dynamics. Simulations have been carried out on a test vehicle propelled by two 37-kW induction motors to evaluate the consistency and the performance of the proposed control approach. The commonly used European drive cycle ECE-15 is adopted for simulation. The obtained results seem to be very promising

Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle without Differential Gears

International audienceThis paper presents system analysis, modeling and simulation of an EV with two independent rear wheel drives. The traction control system is designed to guarantee the EV dynamics and stability in case of no differential gears. Using two electrics in-wheel motors give the possibility to have a torque and speed control in each wheel. This control level improves the EV stability and the safety. The proposed traction control system uses the vehicle speed, which is different from wheels speed characterized by slip in the driving mode, an input. In this case, a generalized neural network algorithm is proposed to estimate the vehicle speed. In terms of the analysis and the simulations carried out, the conclusion can be drawn that the proposed system is feasible. Simulation results on a test vehicle propelled by two 37-kW induction motors showed that the proposed control approach operates satisfactorily