963 research outputs found

    Simulation of Vector Controlled Adjustable Speed System of Doubly Fed Induction Machine

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    In this work the performance of vector speed control of doubly fed induction machine is considered. Based on the analysis of doubly fed induction machine dynamic mathematical model and the vector control principle, the construction of the motor control system has been completed. Doubly fed induction machine module, the vector controller module, Clark transform module, Park transform module, inverter module, flux module, speed-conditioning module have been set up by0adopting the idea of modular in MATLAB/SIMULINK environment. Through the organic integration of functional modules, the vector control doubly fed induction machine system has been constituted. Simulation results show the changes in the machine electromagnetic torque, the dynamic changes of speed curve, which demonstrate that the real system can be well simulated with fast dynamic response speed, steady-state small of static error, and strong ability of anti-load disturbance

    Speed control of a matrix converter excited doubly-fed induction machine

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    Speed control algorithm based on full doubly-fed induction machine model has been investigated. Experimental testing of the doubly-fed induction machine control algorithm with matrix converter at rotor side has been performed. Speed control algorithm of the doubly-fed induction machine has been implemented in real time using DSP-controller and successfully tested on the experimental rig

    GeoPlex experimental setup: generator and converter

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    The experimental setup of the Flywhell Energy Storage System is presented. The system is made of a doubly-fed induction machine coupled to a flywheel and a back-to-back converte

    Parametric identification of the doubly fed induction machine

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    International audienceWind Energy is a very promising energy for the future. It is well known that the power delivered by wind turbines directly coupled to the grid is not constant as a result of the wind variability. In the absence of storage systems, a fluctuating power supply produced, can lead to voltage variations in the grid and flicker. Another disadvantage of most induction machines utilized in the wind turbines is that the required reactive power varies with wind speed and time. These problems can make the use of double fed induction generators attractive for wind turbine applications. Doubly-fed induction machines (DFIMs) are beginning to dominate the wind generation market, particularly for the larger sizes of turbine. This work is dedicated to the identification of the parametric double-fed induction machine. We propose a model of the DFIG based on the method of vector space. This model is used to validate the experimental results of identified parameters of the machine. After considering several methods of parameter identification of induction machines, provided with the results of the experiments, we are particularly interested in standardized testing. The proposed approach allows determining the electrical parameters of the machine using conventional methods static and dynamic, mechanical parameters are estimated using a digital channel, following the curve of smoothed experimental slowdown. The identified model parameters are verified by comparing their simulated stator and rotor currents responses against the measured currents. It is again observed that the estimated model responses match the measured responses well

    Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine

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    This paper proposes the fundamental aspects of hybrid nonlinear control which is composed of the super twisting algorithm (STA) based second order sliding mode control applying fuzzy logic method (FSOSMC), with pertinent simulation results for a doubly fed induction machine (DFIM) drive. To minimize chattering effect phenomenon due to Signum function employed in sliding mode algorithm, a new method is proposed. This technique consists in replacing the signum function by fuzzy switching function in the SOSMC to minimize flux and torque ripples. This FSOSMC is associated to the double direct torque control DDTC of the doubly fed induction machine (DFIM) by combining the advantages of fuzzy logic (FL) and the advantages of super-twisting sliding mode. The FSOSMC-DDTC strategy is compared with a PI-DDTC and SOSMC-DDTC. Simulation results demonstrate good efficiency and excellent robustness of the hybrid nonlinear controller

    Design considerations for the brushless doubly-fed (induction) machine

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    © The Institution of Engineering and Technology. A design procedure for the brushless doubly-fed machine is based on equations derived from a simplified equivalent circuit. The method allows the many variables in the design of this machine to be handled in a straightforward way. Relationships are given for the division of slot area between the two stator windings and for the design of the magnetic circuit. The design method is applied to a frame size 180 machine. In particular, calculated values for flux densities in the machine have been verified by time stepping finite element analysis for actual operating conditions. The approach outlined can also be used as part of a design optimisation routine

    Rotor parameter determination for the brushless doubly fed (induction) machine

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    A procedure has been established for obtaining equivalent circuit parameters for the Brushless Doubly Fed Machine (BDFM), also known as the Brushless Doubly Fed Induction Machine (DFIM), by transforming a reduced coupled-circuit model into a sequence component form. This approach takes advantage of the model reduction procedure’s ability to reduce a complex rotor structure to a single equivalent loop without significant loss of accuracy. An alternative method based on winding factors has also been developed and includes coupling via harmonic fields. Parameters determined in both ways are in close agreement with those determined from Finite Element Analysis (FEA) and experimentally. The advantages of each method is discussed in the conclusion section.This work was supported by the European Union's Seventh Framework Programme managed by REA – Research Executive Agency (FP7/2007_2013) under Grant Agreement N.315485.This is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1049/iet-epa.2015.002

    A modulated model predictive control scheme for the brushless doubly-fed induction machine

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    This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applications. The proposed modulation technique achieves a fixed switching frequency, which gives good system performance. The paper examines the design and implementation of the modulation technique and simulation results verify the operation of the proposed modulation technique

    Vector control of doubly-fed induction machine: robustness with respect to parameters variation

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    Electromechanical systems on the base of Doubly-Fed Induction Machine is an attractive solution for restricted speed range drives and energy generation applications. The concept of indirect stator flux orientation was introduced similarly to indirect rotor flux orientation. Line voltage amplitude, frequency and stator resistance have variations and cause torque errors. Robustness of the indirect flux oriented controller is studied in order to define the most critical variations

    Transformation Groups of the Doubly-Fed Induction Machine

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    Three-phase, doubly-fed induction (DFI) machines are key constituents in energy conversion processes. An ideal DFI machine is modeled by inductance matrices that relate electric and magnetic quantities. This work focuses on the algebraic properties of the mutual (rotor-to-stator) inductance matrix Lsr: its kernel, range, and left zero divisors are determined. A formula for the differentiation of Lsr with respect to the rotor angle θr is obtained. Under suitable hypotheses Lsr and its derivative are shown to admit an exponential representation. A recurrent formula for the powers of the corresponding infinitesimal generator A0 is provided. Historically, magnetic decoupling and other requirements led to the Blondel-Park transformation which, by mapping electric quantities to a suitable reference frame, simplifies the DGI machine equations. Herewith the transformation in exponential form is axiomatically derived and the infinitesimal generator is related to A0. Accordingly, a formula for the product of matrices is derived which simplifies the proof of the Electric Torque Theorem. The latter is framed in a Legendre transform context. Finally, a simple, “realistic” machine model is outlined, where the three-fold rotor symmetry is broken: a few properties of the resulting mutual inductance matrix are derived
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