Model‐based flux weakening strategy for synchronous machines without additional regulators. Issue 9 (13th August 2018)

• Record Type: Journal Article
• Authors: Zanuso, Giovanni; Peretti, Luca; Sandulescu, Paul
• Is Part Of: IET electric power applications. Volume 12:Issue 9(2018)
• Page Start: 1283
• Page End: 1290
• Publication Date: 2018-08-13
• Subjects: synchronous motor drives -- torque control -- digital control -- machine control -- voltage control -- magnetic flux -- reluctance machines; control strategy -- flux weakening operation -- synchronous machine -- strategy leverages -- nonlinear models -- flux linkages -- sensorless control -- flux‐weakening operation -- flux weakening regulators -- operating regions -- external voltage regulation loop -- digital control period -- flux weakening strategy -- regulators -- synchronous reluctance machine -- conventional maximum‐torque‐per‐ampere control -- current voltage references -- power 11.0 kW; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2018.0065
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : This study proposes a model‐based control strategy for flux weakening operation of a synchronous reluctance machine, with a methodology that is extendible to any synchronous machine. The strategy leverages in the presence of digital non‐linear models that describe the relation between currents and flux linkages in the machine. Such models are usually needed for conventional maximum‐torque‐per‐ampere control and sensorless control, but here they are exploited to achieve flux‐weakening operation without the need of flux weakening regulators, ensuring a seamless transition between the operating regions of the machine. The external voltage regulation loop for flux weakening is thus eliminated and substituted by a combination of look‐up tables and binary searches, which are executed within one digital control period and which generate the required current and voltage references that fulfil the drive limitations. The method can also be coupled with mechanisms to compensate for magnetic parameter inaccuracies, to achieve an accurate tracking of the reference torque. The proposed solution is simulated and validated in a laboratory test bench on an 11 kW synchronous reluctance machine.