Optimized commissioning method for enhanced vector control of high-power induction motor drives

Andrew Trentin; Pericle Zanchetta; Chris Gerada; Jon Clare; Patrick W. Wheeler

doi:10.1109/TIE.2008.2011335

Optimized commissioning method for enhanced vector control of high-power induction motor drives

Andrew Trentin, Pericle Zanchetta, Chris Gerada, Jon Clare, Patrick W. Wheeler

Research output: Journal Publication › Article › peer-review

23 Citations (Scopus)

Abstract

This paper presents a method for improving the control design for a high-power induction motor (IM) drive employing rotor-flux-based orientation. An offline genetic-algorithm routine is used to estimate the electrical and mechanical parameters of the machine using only speed transient measurements. This routine is applied to a range of operating conditions to obtain an accurate knowledge of the IM parameters as a function of the d-axis motor current i_d. The information acquired is then employed, together with an enhanced control design obtained by optimizing speed and current transient responses, to increase the performance of the vector control algorithm. The effectiveness of this design method is demonstrated through a wide range of simulations using Matlab-Simulink and experimental results at power levels up to 230 kW.

Original language	English
Pages (from-to)	1708-1717
Number of pages	10
Journal	IEEE Transactions on Industrial Electronics
Volume	56
Issue number	5
DOIs	https://doi.org/10.1109/TIE.2008.2011335
Publication status	Published - 2009
Externally published	Yes

Keywords

Gallium
Genetic algorithms
Genetic algorithms (GAs)
Induction motors
Induction motors (IMs)
Optimization
Parameter estimation
Rotor-flux control
Rotors
Torque
Transient analysis

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/TIE.2008.2011335

Cite this

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title = "Optimized commissioning method for enhanced vector control of high-power induction motor drives",

abstract = "This paper presents a method for improving the control design for a high-power induction motor (IM) drive employing rotor-flux-based orientation. An offline genetic-algorithm routine is used to estimate the electrical and mechanical parameters of the machine using only speed transient measurements. This routine is applied to a range of operating conditions to obtain an accurate knowledge of the IM parameters as a function of the d-axis motor current id. The information acquired is then employed, together with an enhanced control design obtained by optimizing speed and current transient responses, to increase the performance of the vector control algorithm. The effectiveness of this design method is demonstrated through a wide range of simulations using Matlab-Simulink and experimental results at power levels up to 230 kW.",

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AU - Trentin, Andrew

AU - Zanchetta, Pericle

AU - Gerada, Chris

AU - Clare, Jon

AU - Wheeler, Patrick W.

PY - 2009

Y1 - 2009

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AB - This paper presents a method for improving the control design for a high-power induction motor (IM) drive employing rotor-flux-based orientation. An offline genetic-algorithm routine is used to estimate the electrical and mechanical parameters of the machine using only speed transient measurements. This routine is applied to a range of operating conditions to obtain an accurate knowledge of the IM parameters as a function of the d-axis motor current id. The information acquired is then employed, together with an enhanced control design obtained by optimizing speed and current transient responses, to increase the performance of the vector control algorithm. The effectiveness of this design method is demonstrated through a wide range of simulations using Matlab-Simulink and experimental results at power levels up to 230 kW.

KW - Gallium

KW - Genetic algorithms

KW - Genetic algorithms (GAs)

KW - Induction motors

KW - Induction motors (IMs)

KW - Optimization

KW - Parameter estimation

KW - Rotor-flux control

KW - Rotors

KW - Torque

KW - Transient analysis

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JF - IEEE Transactions on Industrial Electronics

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ER -

Optimized commissioning method for enhanced vector control of high-power induction motor drives

Abstract

Keywords

ASJC Scopus subject areas

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