Improvement of low speed operation of electric machine with an inertia identification using ROELO

Lee, K.B.; Yoo, Jisu; Song, Juyeon; Choy, Ick

doi:10.1049/ip-epa:20031009

Cited by 61 publications

(43 citation statements)

References 3 publications

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“…For example, the speed reference profile, and the integral interval can be expressed as (14) and (15).…”

Section: Speed Profile and Discussionmentioning

confidence: 99%

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A Simple Method for Identifying Mechanical Parameters Based on Integral Calculation

Han¹,

Yoo²,

Yoon³

et al. 2016

Journal of Power Electronics

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A method for the identification of mechanical parameters based on integral calculation is presented. Both the moment of inertia and the friction constant are identified by the method developed here, which is based on well-known mechanical differential equations. The mechanical system under test is excited according to a pre-determined low-frequency sinusoidal motion, minimizing the distortion, and increasing the accuracy of the results. The parameters are identified using integral calculation, increasing the robustness of the results against measurement noise. Experimental data are supported by simulation, confirming the effectiveness of the proposed technique. The performance improvements shown here are of use in the design of speed and position controllers and observers. Owing to its simplicity, this method can be readily applied to commercial inverter products.

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“…For example, the speed reference profile, and the integral interval can be expressed as (14) and (15).…”

Section: Speed Profile and Discussionmentioning

confidence: 99%

“…Algorithms based on observer theory [14], [15] used a modified Luenberger observer to estimate inertia information based on state variables such as the speed and disturbance torque. Identification algorithm performance depends on the initial values, and an algorithm can fail if it is inappropriately initialized.…”

Section: Introductionmentioning

confidence: 99%

A Simple Method for Identifying Mechanical Parameters Based on Integral Calculation

Han¹,

Yoo²,

Yoon³

et al. 2016

Journal of Power Electronics

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show abstract

“…Also, more advanced techniques of inertia identification using observer (Awaya et al, 1992;Lee et al, 2004;Yang and Deng, 2005), extended Kalman filtering (Kwon et al, 2006;Boileau et al, 2008;Hong et al, 1996), model reference adaptive method (Andoh, 2008;Okamura et al, 1995), gradient descent method (Boileau et al, 2011) are available in literature. These methods, generally needs a more complicated hardware.…”

Section: Fig 2: Typical Deceleration Curve For Retardation Testmentioning

confidence: 99%

A simple method for electrical machine’s mechanical parameter extraction

Abut

Kandilli

2017

Int. j. adv. appl. sci

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Electrical motors are one of the most important key components of industry. While motors can be divided in so many groups, mathematical description of all of them is divided into two subsystems: Electrical and mechanical subsystem. Mechanical subsystem is usually composed of rotor inertia, external load and friction in bearing of rotor. Friction is usually modeled as viscous friction, i.e. linearly dependent on angular speed. Rotor inertia J) and coefficient of viscous friction (B) are needed in order to model mechanical subsystem of motor. When motor is used in high performance close loop motion control systems, an accurate model of motor is required for system analysis and design. This paper suggests a novel method for measuring rotor's J and B for such applications. There is no restriction on the type of motor under test. Studied method, needs no sensor so no friction is added to motor. Only a digital camera is required. There is no need to open the motor case and remove motor's rotor in this method. Proposed method has been tested in laboratory and practical results shows effectiveness of suggested method.

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“…However the method has been limited to theory for its requirement of extra information, such as the period of reference speed as described in [2]. Kyo-Beum Lee has designed two separate observers to observe disturbance and inertia in [3]. Also in [4], relative higher control cost has been paid for realizing of neural network.…”

Section: Introductionmentioning

confidence: 99%

An Improved Torque Feed-forward Control with Observer-based Inertia Identification in PMSM Drives

Zhao

Cui

Liu

et al. 2013

Journal of international Conference on Electrical Machines and

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Improvement of low speed operation of electric machine with an inertia identification using ROELO

Cited by 61 publications

References 3 publications

A Simple Method for Identifying Mechanical Parameters Based on Integral Calculation

A Simple Method for Identifying Mechanical Parameters Based on Integral Calculation

A simple method for electrical machine’s mechanical parameter extraction

An Improved Torque Feed-forward Control with Observer-based Inertia Identification in PMSM Drives

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