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This paper analyzes the effects of magnetic saturation, including cross-saturation and secondary saliencies, on the saliency-based sensorless control of interior permanent magnet synchronous machines. These effects are mitigated by adaptively decoupling saturation-induced saliencies via a structured neural network. This paper includes the identification of(More)
This paper investigates magnet polarity estimation of permanent-magnet synchronous machines. Because the magnet polarity is estimated from low signal-to-noise ratio signals, it is sensitive to additional signal content, affecting the robustness of magnet polarity estimate. An evaluation of eight low-saliency machines identifies a DC-offset vector in the(More)
This paper compares pulsating- and rotating-vector carrier-signal injection for self-sensing (or sensorless) control of permanent-magnet synchronous machines (PMSMs). The main focus of this paper is the evaluation of estimation errors due to the physical nonideal attributes of both the machine and the inverter. Initial-position and magnet-polarity(More)
This paper analyzes the effects of the high-frequency resistances in saliency tracking-based sensorless control methods of permanent-magnet synchronous machines (PMSMs). A high-frequency model of the PMSM, including stator high-frequency resistance, is presented. From this model, potential sources of error in the estimated position due to the high-frequency(More)
This paper presents a significant discussion of implementation details of an enhanced fast initial position and magnet polarity estimation method for low saliency PM synchronous machines. The carrier frequency operating-point model of the machine has been extended to include the effect of cross-saturation as part of the non-linear interactions of the(More)
This paper analyzes the effects of the transient resistances in saliency tracking-based sensorless control methods of PM synchronous machines. A high frequency model of the PM synchronous machine including both stator and rotor transient resistance is presented. From this model, potential sources of error in the estimated position due to the transient(More)
The focus of this paper is the use of structured neural networks for sensorless control of ac machines using carrier-signal injection. Structured neural networks allow effective compensation of saturation-induced saliencies as well as other secondary saliencies. In comparison with classical compensation methods, such as lookup tables, this technique has(More)
A general solution for initial position and magnet polarity estimation on PM machines is presented. The technique is based on carrier frequency signal injection and proves to be fast, simple and parameter insensitive. It is applied to both salient and very low saliency PM synchronous machines of different power levels. An important step to understanding the(More)
An original feed-forward stator flux regulator for induction machines is presented in this paper. The regulator is well suited for torque and flux control of induction machines in flux weakening regime, when the only available control variable is stator flux angle. Proposed regulator is analytically described and tested via computer simulation.
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