Sensorless Speed and Position Control of Permanent Magnet Synchronous Motors Using Hybrid High Frequency Signal Injection Method

Mutasim Nour, New Yen Ee, Eyad Radwan

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

Abstract

Sensorless control of permanent magnet synchronous motor
(PMSM) requires the absolute position information to be
estimated from the motor currents and voltages. Conventional
model-based estimation algorithm is effective at medium and
high-speed operation but performs poorly at low and zero speed
operation due to small value of motor currents and voltages
which then leads to low SNR values. This paper presents a hybrid
rotor position estimation algorithm over a wide speed range. At
low speed, a new compensated high frequency signal injection
method which utilizes Kalman filtering is proposed to estimate
the rotor position at zero and low speeds. At high speed
applications, a direct scaling method which utilizes the machine
model is proposed. The two methods are combined by a
reasoning simple algorithm to estimate the rotor speed over the
entire speed range. The performance of the proposed estimation
method is tested via simulation using Maltlab and Simulink. The
results obtained showed the effectiveness and efficiency of the
proposed methods over a wide speed range with and without load.
Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Modeling, Simulation and Applied Optimization, Sharjah,U.A.E January 20-22 2009
Number of pages6
Publication statusPublished - 2009

Fingerprint Dive into the research topics of 'Sensorless Speed and Position Control of Permanent Magnet Synchronous Motors Using Hybrid High Frequency Signal Injection Method'. Together they form a unique fingerprint.

  • Cite this

    Nour, M., Yen Ee, N., & Radwan, E. (2009). Sensorless Speed and Position Control of Permanent Magnet Synchronous Motors Using Hybrid High Frequency Signal Injection Method. In Proceedings of the Third International Conference on Modeling, Simulation and Applied Optimization, Sharjah,U.A.E January 20-22 2009