Comparison Between Adaptive Flux Observer and Extended Kalman Filter-Based Algorithms For Sensorless Vector Controlled Five-Phase Induction Motor Drive

Vol.1 No.2

Year: 2007

Issue: Oct-Dec

Title: Comparison Between Adaptive Flux Observer and Extended Kalman Filter-Based Algorithms For Sensorless Vector Controlled Five-Phase Induction Motor Drive   

Author Name: M. Rizwan Khan, Atif Iqbal , Mukhtar Ahmad   

Synopsis:   

A lot of research effort has been put in recent years on sensorless drive system for reason such as reliability, robustness, ease of control etc. A number of sensorless schemes are in practice for three-phase drive system. An attempt is made here to implement the existing sensorless techniques on a five-phase induction motor drive system under vector controlled condition. This paper presents a comparison between the performances of an adaptive flux observer and those of an extended Kalman filter-based algorithms, used to estimate the rotor speed  in a vector-controlled five-phase induction motor drive. The estimate is obtained by measuring stator voltages and stator currents in both schemes. Performance of vector controlled drive system is investigated for acceleration, loading and reversing transients. Simulation results are provided.