scholarly journals Dynamic model of a self-excited induction generator with fundamental stray load and iron losses

2018 ◽  
Vol 22 (Suppl. 3) ◽  
pp. 797-807
Author(s):  
Mateo Basic ◽  
Dinko Vukadinovic ◽  
Ivan Grgic
Keyword(s):  
Dynamic Model ◽  
Induction Machine ◽  
Induction Machines ◽  
International Standards ◽  
Induction Generator ◽  
Machine Model ◽  
Iron Losses ◽  
Model Determination ◽  
Advanced Model

This paper considers a dynamic model of a self-excited induction generator that takes into account the fundamental stray load and iron losses. The model is de?scribed with the same number of differential equations as the conventional induc?tion machine model. Determination of the stray load and iron losses resistances does not involve any tests other than those imposed by the international standards nor does it require any details about induction machine materials or geometry. The dynamic analysis has been carried out for the case of a wind turbine-driven self-excited induction generator. The steady-state analysis, on the other hand, has been carried out for the case of a load-independent prime mover. The considered advanced model, aside from being compared with the conventional model, has been experimentally validated for two different-efficiency induction machines, both rated 1.5 kW.

scholarly journals Multi-Stage Optimization of Induction Machines Using Methods for Model and Parameter Selection

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5537
Author(s):  
Martin Nell ◽  
Alexander Kubin ◽  
Kay Hameyer
Keyword(s):  
Induction Machine ◽  
Optimization Methods ◽  
Induction Machines ◽  
Parameter Selection ◽  
Pattern Search ◽  
Machine Model ◽  
Multi Stage ◽  
Selection Approach ◽  
Optimization Parameters ◽  
Selection Of

Optimization methods are increasingly used for the design process of electrical machines. The quality of the optimization result and the necessary simulation effort depend on the optimization methods, machine models and optimization parameters used. This paper presents a multi-stage optimization environment for the design optimization of induction machines. It uses the strategies of simulated annealing, evolution strategy and pattern search. Artificial neural networks are used to reduce the solution effort of the optimization. The selection of the electromagnetic machine model is made in each optimization stage using a methodical model selection approach. The selection of the optimization parameters is realized by a methodical parameter selection approach. The optimization environment is applied on the basis of an optimization for the design of an electric traction machine using the example of an induction machine and its suitability for the design of a machine is verified by a comparison with a reference machine.

scholarly journals Generic modeling, identification and optimal feedforward torque control of induction machines using steady-state machine maps

2021 ◽  
Author(s):  
Julian Kullick ◽  
Christoph Hackl
Keyword(s):  
Steady State ◽  
Induction Machines ◽  
Torque Control ◽  
Machine Model ◽  
Data Set ◽  
Iron Losses ◽  
Generic Modeling ◽  
Temperature Constant ◽  
Machine Speed ◽  
The Impact

<div><div><div><div><p>A not yet available look-up table (LUT) based optimal feedforward torque control (OFTC) method for squirrel- cage induction machines (SCIMs) is presented. It is based on: (i) a generic transformer-like machine model in an arbitrarily rotating (d,q)-reference frame, considering nonlinear flux linkages and iron losses in the stator laminations; (ii) machine identification by evaluating steady-state measurements over a grid of (d,q) stator currents, producing frequency-dependent machine maps for e.g. flux linkages, torque, iron resistance and efficiency; and (iii) numerical optimization and extraction of OFTC look- up tables for optimal stator current references depending on reference torque and electrical frequency. In order to increase reproducibility, a feedback temperature controller is employed to keep the stator winding temperature constant. Moreover, throughout the identification, the electrical frequency is kept con- stant (per data set) by adapting the machine speed accordingly using a speed-controlled prime mover; this way the impact of iron losses becomes more balanced than for constant speed operation. The presented measurement results confirm that compared to constant flux operation or scalar V/Hz control, efficiency can be increased particularly in part-load operation by up to 7 %.</p></div></div></div></div>

scholarly journals Generic modeling, identification and optimal feedforward torque control of induction machines using steady-state machine maps

2021 ◽  
Author(s):  
Julian Kullick ◽  
Christoph Hackl
Keyword(s):  
Steady State ◽  
Induction Machines ◽  
Torque Control ◽  
Machine Model ◽  
Data Set ◽  
Iron Losses ◽  
Generic Modeling ◽  
Temperature Constant ◽  
Machine Speed ◽  
The Impact

<div><div><div><div><p>A not yet available look-up table (LUT) based optimal feedforward torque control (OFTC) method for squirrel- cage induction machines (SCIMs) is presented. It is based on: (i) a generic transformer-like machine model in an arbitrarily rotating (d,q)-reference frame, considering nonlinear flux linkages and iron losses in the stator laminations; (ii) machine identification by evaluating steady-state measurements over a grid of (d,q) stator currents, producing frequency-dependent machine maps for e.g. flux linkages, torque, iron resistance and efficiency; and (iii) numerical optimization and extraction of OFTC look- up tables for optimal stator current references depending on reference torque and electrical frequency. In order to increase reproducibility, a feedback temperature controller is employed to keep the stator winding temperature constant. Moreover, throughout the identification, the electrical frequency is kept con- stant (per data set) by adapting the machine speed accordingly using a speed-controlled prime mover; this way the impact of iron losses becomes more balanced than for constant speed operation. The presented measurement results confirm that compared to constant flux operation or scalar V/Hz control, efficiency can be increased particularly in part-load operation by up to 7 %.</p></div></div></div></div>

scholarly journals A General Model for Describing the Performance of Brushless Doubly-Fed Induction Machines

2010 ◽  
Vol 7 (2) ◽  
pp. 1
Author(s):  
S. M. Allam ◽  
A. M. Azmy ◽  
M. A. El-Khazendar
Keyword(s):  
Induction Machine ◽  
Induction Machines ◽  
Machine Model ◽  
Simple Modification ◽  
Stator Windings ◽  
Three Phase ◽  
Doubly Fed Induction Machine ◽  
State Behaviour ◽  
Doubly Fed ◽  
Doubly Fed Machine

 This paper presents a generalized model, by which the dynamic and steady-state behaviour of the Brushless Doubly-Fed Induction Machine (BDFIM) can be precisely predicted. The investigated doubly-fed machine has two sets of three-phase stator windings with different pole numbers. The rotor is a squirrel-cage type with a simple modification in order to support the two air-gap rotating fields that are produced by the stator windings and have different pole numbers. The machine model is derived in the qdo-axis variables. The qdoaxes are attached to rotor and hence, it rotates at the rotor speed (

scholarly journals Actuator design for arc welding robot

1970 ◽  
Vol 6 (2) ◽  
pp. 48-53
Author(s):  
Anurag Verma ◽  
MM Gor
Keyword(s):  
Dynamic Model ◽  
Arc Welding ◽  
Welding Robot ◽  
Inverse Dynamic ◽  
Typical Application ◽  
Welding Operation ◽  
Engineering And Technology ◽  
Model Determination ◽  
Actuator Design

The present work is an attempt to determine torque required at each joint of 6-Degree of Freedom Arc Welding Robot for typical horizontal fillet welding operation which will be useful for designing actuator. Here, range of welding speed 90mm/min & 2000mm/min is taken. Result obtained at the end of this analysis will be useful for designing actuator capacity for typical application. The methodology adopted for analysis includes development of dynamic model, determination of velocity and acceleration with respect to time and thus determination of torque using velocity-acceleration and dynamic model. Keywords: Inverse Dynamic Analysis; Lagrange-Euler formulation; Arc Welding Robot DOI: 10.3126/kuset.v6i2.4011Kathmandu University Journal of Science, Engineering and Technology Vol.6. No II, November, 2010, pp.48-53

scholarly journals Generic modeling, identification and optimal feedforward torque control of induction machines using steady-state machine maps

2021 ◽  
Author(s):  
Julian Kullick ◽  
Christoph Hackl
Keyword(s):  
Steady State ◽  
Induction Machines ◽  
Torque Control ◽  
Machine Model ◽  
Data Set ◽  
Iron Losses ◽  
Generic Modeling ◽  
Temperature Constant ◽  
Machine Speed ◽  
The Impact

<div><div><div><div><p>A not yet available look-up table (LUT) based optimal feedforward torque control (OFTC) method for squirrel- cage induction machines (SCIMs) is presented. It is based on: (i) a generic transformer-like machine model in an arbitrarily rotating (d,q)-reference frame, considering nonlinear flux linkages and iron losses in the stator laminations; (ii) machine identification by evaluating steady-state measurements over a grid of (d,q) stator currents, producing frequency-dependent machine maps for e.g. flux linkages, torque, iron resistance and efficiency; and (iii) numerical optimization and extraction of OFTC look- up tables for optimal stator current references depending on reference torque and electrical frequency. In order to increase reproducibility, a feedback temperature controller is employed to keep the stator winding temperature constant. Moreover, throughout the identification, the electrical frequency is kept con- stant (per data set) by adapting the machine speed accordingly using a speed-controlled prime mover; this way the impact of iron losses becomes more balanced than for constant speed operation. The presented measurement results confirm that compared to constant flux operation or scalar V/Hz control, efficiency can be increased particularly in part-load operation by up to 7 %.</p></div></div></div></div>

METHOD FOR ESTIMATING ERRORS IN MEASURING INSTRUMENTS BY THE SPACE CATALOGUE ORBITS

2018 ◽  
pp. 76-84
Author(s):  
K. V. Sorokin ◽  
E. A. Sunarchina
Keyword(s):  
Dynamic Model ◽  
New Method ◽  
Measuring Instruments ◽  
Measuring Instrument ◽  
Software Complex

Improvement of orbits precision is one of the most important tasks of space surveillance catalogue maintenance. The solution of this problem is directly related to an adequate consideration of the errors of the coordinate information from the measuring instruments. The article consideresd a new method for estimating the precision of measuring instruments on the catalog orbits. To carry out such analysis, in PJSC «VIMPEL» special technological program was created. Main results of a study of radar errors with orbits of space surveillance catalogue was presented. Also, the results were compared with data of measuring instrument's calibration software complex. This software complex provides determination of satellite's position with errors less than 10 m. A new dynamic model of measuring instrument errors is proposed.

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