Energy optimisation of sensorless induction motor drives using a novel robust-adaptive flux simulator

Djoni Ashari, Crinela Pislaru, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Modern drive systems should have improved reliability and one solution is the reduction or elimination of the number of speed sensors while maximizing the efficiency of motor and drive systems. The paper presents the development of a novel robust-adaptive-flux simulator which is used for the energy optimisation of sensorless induction motor drives. The closed loop system contains a predictive current controller and an observer which is robust against parameters variation. The estimated values of the rotor magnetic flux are used to determine the motor core losses by the robust-adaptive observer. Particle Swarm Optimisation (PSO) algorithm is used for the optimization of rotor speed so the motor losses are minimized and so the motor efficiency is increased. The simulated results show that the proposed sensorless control strategy ensures that the drive system has high dynamic performance for a wide range of rotor speeds and leads to a significant energy saving under different load operating conditions.

Original languageEnglish
Title of host publication2012 2nd International Electric Drives Production Conference, EDPC
PublisherIEEE
Number of pages8
ISBN (Electronic)9781467330084
ISBN (Print)9781467330077
DOIs
Publication statusPublished - 1 Feb 2013
Event2nd International Electric Drives Production Conference - Nuremberg, Germany
Duration: 15 Oct 201218 Oct 2012
Conference number: 2

Conference

Conference2nd International Electric Drives Production Conference
Abbreviated titleEDPC 2012
CountryGermany
CityNuremberg
Period15/10/1218/10/12

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