Induction motor parameter estimation through an output error technique

Kock, J.A. de; Merwe, F.S. van der; Vermeulen, H.J.

doi:10.1109/60.282478

Cited by 72 publications

(13 citation statements)

References 7 publications

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“…Taking the complexity of power system dynamics into consideration, parameter identification of the equivalent model is an optimization problem with a discontinuous multimodal and non-convex landscape. The traditional programming technology is fast and reliable, but it is often unable to find the best solution to the highly complex multimodal search space and may get easily trapped into a local optimum [20,21]. Metaheuristics, on the other hand, are simple, flexible, derivation-free and local minima avoidance.…”

Section: Introductionmentioning

confidence: 99%

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

Benmiloud

Arif

2019

Journal of Electrical Engineering

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Dynamic equivalent (DE) is an important process of multi-area interconnected power systems. It allows to perform stability assessment of a specific area (area of interest) at minimum cost. This study is intended to investigate the dynamic equivalent of two relatively large power systems. The fourth-order model of synchronous generators with a simplified excitation system is used as equivalent to the group of generators in the external system. To improve the accuracy of the estimated model, the identification is carried in two stages. First, using the global search Sine Cosine Algorithm (SCA) to find a starting set values, then this set is used as starting point for the fine-tuning made through the Pattern Search (PS) algorithm. To increase the reliability of the model’s parameters, two disturbances are used to avoid the identification based on a specific event. The developed program is applied on two standard power systems, namely, the New England (NE) system and the Northeast Power Coordinating Council (NPCC) system. Simulation results confirm the ability of the optimized model to preserve the main dynamic properties of the original system with accuracy.

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Section: Introductionmentioning

confidence: 99%

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

Benmiloud

Arif

2019

Journal of Electrical Engineering

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“…The random signals and ordinary least squares (OLS) were used in [15]- [18] to obtain more robust and accurate results. In order to increase the immunity to noises, modified evaluation criteria were adopted in [19] and [20], where advanced nonlinear LS models were adopted.…”

Section: Introductionmentioning

confidence: 99%

A Prediction Error Method-Based Self-Commissioning Scheme for Parameter Identification of Induction Motors in Sensorless Drives

Ruan

Wang

2015

IEEE Trans. Energy Convers.

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To avoid inconvenience caused by shaft rotation and improve immunity to measurement noises, an elaborately designed scheme is proposed for parameter identification of induction motors. After analyzing the responses of a simple step-voltage test, a sequence of pseudorandom signals, customized to excite abundant dynamics in the featured frequency band of the motor, are injected into the stator in a single-phase mode at standstill. The crucial feature of the proposed scheme is that a nonlinear procedure is introduced to minimize "predicted errors" of the estimation model, which lowers influences of measurement noises notably, and thus the design of low-pass filters is simplified greatly. Experimental comparisons are carried out, including not only tests on a squirrel-cage motor, but also extended tests on a wound-rotor motor to testify accuracy of rotor-side parameters, both using a real inverter. The results indicate that the proposed scheme is able to estimate parameters required by controllers accurately in the noisy environment, and improve performances of sensorless motor drivers.Index Terms-Excitation signal design, prediction error method (PEM), self-commissioning, sensorless control, single-phase test.

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“…cases high accuracy is demanded in the parameter T HIS paper addresses the issue of induction motor determination, when the problem is viewed from the electric modeling and model estimation for power system analysis machinery point of view [9]- [16]. However, when load studies.…”

Section: Introductionmentioning

confidence: 99%

Quadratized Three-Phase Induction Motor Model for Steady-State and Dynamic Analysis

Stefopoulos

Meliopoulos

2006

2006 38th North American Power Symposium

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equations of a power system. Thus the model can be Abstract-This paper describes the implementation of a three-immediately used for steady-state (load flow) analysis for both phase, phase-domain induction motor model for asymmetric load transmission and distribution systems. The model optionally flow and quasi-steady state analysis. The mathematical model is includes rotor parameters that are speed-dependent and vary based on the use of linear and quadratic equations, reducing es oto eterat are sped-dpenen andfvar therefore the system nonlinearity to at most second degree. The depending on the operating point. Ths allows a unified model optionally includes slip-dependent rotor parameters, representation of allmotortypes anddesigns including double allowing therefore a unified and accurate representation of every cage models or deep bar rotor models. Augmentation of the possible motor design (NEMA designs A, B, C and D). A model with appropriate dynamic equations allows its use in parameter estimation methodology is also presented that allows quasi-steady state analysis, as well, with practically very little the motor model identification using the slip-torque and slip-model modification, which enables capturing dynamic events current motor characteristic. The estimation procedure and the model performance for both steady-state and dynamic analysis inesystem. are demonstrated with some simple numerical examples. One of the main problems with induction motor Index Terms-Induction motor model, Load flow analysis, representation is the unavailability of parameter values toParameter estimation, Quasi-steady-state analysis, Three-phase construct accurate models. This is one of the reasons motors modeling are not usually explicitly represented in system studies. The issue of induction motor parameter estimation has been addressed by several researchers [9]- [24]. In many of these I. INTRODUCTION cases high accuracy is demanded in the parameter T HIS paper addresses the issue of induction motor determination, when the problem is viewed from the electric modeling and model estimation for power system analysis machinery point of view [9]-[16]. However, when load studies. Load modeling in power systems is of great modeling is concerned for power system analysis applications importance, for both steady-state and dynamic analysis, and (like load flow analysis, stability analysis, dynamic simulation has been addressed extensively in literature [1][2][3][4][5][6][7][8]. Induction or power system protection coordination) the level of accuracy motors constitute the most significant part of industrial load needed is considerably less, of the order of 10-15% [17]. Field and their performance has a considerable impact on the measurements after specific tests can be used for accurate behavior of a power system. Nevertheless, power system motor model estimation, however such test are usually analysis studies usually refrain from explicitly representing difficult or impossible to perform in actual, operational induction motor loads, an...

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Induction motor parameter estimation through an output error technique

Cited by 72 publications

References 7 publications

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

A Prediction Error Method-Based Self-Commissioning Scheme for Parameter Identification of Induction Motors in Sensorless Drives

Quadratized Three-Phase Induction Motor Model for Steady-State and Dynamic Analysis

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