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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. [ABSTRACT FROM AUTHOR]

This study presents a self-commissioning procedure for the estimation of the flux linkage curves of synchronous reluctance machines. The procedure exploits a quasi-standstill condition obtained by imposing fast torque oscillations. The flux linkage is calculated by means of a pure integration of the voltages and currents. With respect to the existing procedures, the proposed one tackles the problem of the limited knowledge of the core losses in the electrical machine, which is shown to induce erroneous estimation results for the case under investigation. A theoretical analysis supported by extensive laboratory measurements is shown, proving the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]