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 PublicationArticlepeer-review

23 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1708-1717
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Issue number5
Publication statusPublished - 2009
Externally publishedYes


  • 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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