Evolutionary programming based machine parameters estimation for field oriented control

Wai Lok Chan, A. T.P. So, L. L. Lai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


It is generally aware that real-time parameter estimation of the AC induction machine is very important for the efficient operation of vector-controlled drives. However, most existing methods have not taken into account the four imperfections within the system, i.e. the existence of severe power harmonics due to the PWM inverter drive, the imbalancing of the 3-phase supply from the inverter, the variation of supply frequency under load changing and acceleration/deceleration, and the changes in resistance. In this paper, we have developed a new method of parameter estimation based on real time data sampling of voltages and currents, no matter whether they are sinusoidal or not. The assumption of a synchronous rotating speed of the stator flux is not critical. With the aid of evolutionary programming techniques, the model has been found useful for on-line speed/torque control in most field orientation control schemes as it is much easier to achieve a global minimum during the optimisation process.
Original languageEnglish
Title of host publicationIEEE International Electric Machines and Drives Conference, IEMDC 1999 - Proceedings
Number of pages3
Publication statusPublished - 1 Dec 1999
Event1999 IEEE International Electric Machines and Drives Conference, IEMDC 1999 - Seattle, WA, United States
Duration: 9 May 199912 May 1999


Conference1999 IEEE International Electric Machines and Drives Conference, IEMDC 1999
Country/TerritoryUnited States
CitySeattle, WA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this