Sensorless Control of the Synchronous Reluctance Motor

Lagerquist, Rolf (1993) Sensorless Control of the Synchronous Reluctance Motor. PhD thesis, University of Glasgow.

Abstract

This thesis presents sensorless closed-loop speed control for the synchronous reluc-tance motor. The sensorless control is based on torque vector control. This is believed to be the first implementation of torque vector control. It has been implemented using a high-speed digital signal processor DSP96002. A constant current-angle controller (with rotor position sensor) for the syn-chronous reluctance motor was also developed on the same system. This controller was used as a benchmark for the sensorless torque vector control. It was also used to verify simulations and constant current-angle strategies. This is believed to be the first implementation of a number of original control strategies for the synchronous reluctance motor. Experimental results for sensorless operation a 120W axially laminated synchronous reluctance motor are presented and compared with operation with a speed sensor and simulations. Under sensorless operation a (constant-torque) speed range of 400-1500rpm has been achieved. With constant-power flux-weakening operation to the top speed was extended from 1500rpm to 2750rpm. The drive can withstand a full-load step-change within this speed range without losing synchronism under sensorless control. All the necessary equations for the various aspects of the performance of torque vector control have been developed. The effects of flux-linkage offset errors on the speed estimator and torque estimator have been analysed. Transient errors in the speed estimator due to sudden load changes have also been analysed.

• Item Type: Thesis (PhD)
• Qualification Level: Doctoral
• Additional Information: Adviser: Tim J Miller
• Keywords: Electrical engineering
• Date of Award: 1993
• Depositing User: Enlighten Team
• Unique ID: glathesis:1993-75706
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 19 Dec 2019 09:15
• Last Modified: 19 Dec 2019 09:15
• URI: https://theses.gla.ac.uk/id/eprint/75706