Loss-minimizing flux level control of induction motor drives

Zengcai Qu, Mikaela Ranta, Marko Hinkkanen, Jorma Luomi

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

5 Citations (Scopus)


The paper applies a dynamic space-vector model to loss-minimizing control in induction motor drives. The induction motor model, which takes hysteresis losses and eddy-current losses as well as the magnetic saturation into account, improves the flux estimation and rotor-flux-oriented control. Based on the corresponding steady-state loss function, a method is proposed for solving the loss-minimizing flux reference at each sampling period. A flux controller augmented with a voltage feedback algorithm is applied for improving the dynamic operation and field weakening. Both the steady-state and dynamic performance of the proposed method is investigated using laboratory experiments with a 2.2-kW induction motor drive. The method improves the accuracy of the loss minimization and torque production, it does not require excessive computational resources, and it shows fast convergence to the optimum flux level.
Original languageEnglish
Title of host publicationIEEE International Electric Machines and Drives Conference (IEMDC)
Place of PublicationNiagara Falls, Canada
Publication statusPublished - 15 May 2011
MoE publication typeA4 Article in a conference publication


  • control
  • core losses
  • efficiency optimization
  • induction motor


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