This paper proposes to use a simple stator flux oriented-sliding mode control scheme in conjunction with a novel delayed-state Kalman filter based algorithm, estimating the stator flux linkage components, to realize sensorless induction motor drives. This control scheme has closed loops of torque and stator flux without Pi-type controllers and a minimum number of controller gains is required to obtain good performance without fine tuning. The delayed-state Kalman filter-based algorithm has the state-vector dimension 2times1. The measurement and model errors covariance matrices have dimension 2times2 and are diagonal. As a consequence the setting is not hard because only two parameters must be tuned. Moreover the proposed algorithm gives accurate estimates of stator flux linkage components in transient operations so that can be used in flux rising operations and in field weakening region. Experiments show that the new sensorless control is stable and effective at high and low speeds.

Stator Flux Oriented Sliding Mode Control of Sensorless Induction Motor Drives by Kalman Filter / Salvatore, N.; Cascella, G. L.; Stasi, Silvio; Cascella, D.. - (2007), pp. 956-961. (Intervento presentato al convegno 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2007 tenutosi a Taipei, Taiwan nel November 5-8, 2007) [10.1109/IECON.2007.4459895].

Stator Flux Oriented Sliding Mode Control of Sensorless Induction Motor Drives by Kalman Filter

Cascella, G. L.;STASI, Silvio;
2007-01-01

Abstract

This paper proposes to use a simple stator flux oriented-sliding mode control scheme in conjunction with a novel delayed-state Kalman filter based algorithm, estimating the stator flux linkage components, to realize sensorless induction motor drives. This control scheme has closed loops of torque and stator flux without Pi-type controllers and a minimum number of controller gains is required to obtain good performance without fine tuning. The delayed-state Kalman filter-based algorithm has the state-vector dimension 2times1. The measurement and model errors covariance matrices have dimension 2times2 and are diagonal. As a consequence the setting is not hard because only two parameters must be tuned. Moreover the proposed algorithm gives accurate estimates of stator flux linkage components in transient operations so that can be used in flux rising operations and in field weakening region. Experiments show that the new sensorless control is stable and effective at high and low speeds.
2007
33rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2007
978-1-4244-0783-5
Stator Flux Oriented Sliding Mode Control of Sensorless Induction Motor Drives by Kalman Filter / Salvatore, N.; Cascella, G. L.; Stasi, Silvio; Cascella, D.. - (2007), pp. 956-961. (Intervento presentato al convegno 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2007 tenutosi a Taipei, Taiwan nel November 5-8, 2007) [10.1109/IECON.2007.4459895].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/19539
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