An auto-tuning and self-adaptation procedure for High Frequency Injection (HFI) based position and speed estimation algorithms in Interior Permanent Magnet Synchronous Motor (IPMSM) drives is proposed in this paper. Analytical developments show that, using conventional approaches, the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point. On-line estimation and adaptation of the small signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme which does not rely on a priori knowledge of the machine parameters. On-line adaptation of Phase-Locked Loop (PLL) gains and of the injected voltage magnitude is also possible, leading to important advantages from the performance, loss and acoustic point of view. The theoretical basis of the method has been introduced first and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a commercial industrial drive and two Interior Permanent Magnet Synchronous Motors, namely a prototype and an off-the-shelf machine. Experimental tests demonstrate the feasibility and effectiveness of the proposal.
This paper presents the validation of a small-signal finite element simulation strategy comparing di erent simulation approaches. At first a full 3D non-linear model in the time domain is presented. Then the small-signal strategy has been applied to the 3D model achieving a considerable reduction of computational time. In both 3D models, the eddy currents in the laminations are fully modelled. Then, in order to avoid 3D model, a 2D model has been considered. In this case, eddy currents are included adopting a homogenization technique. In the 2D case, both non-linear time domain simulations and smallsignal strategy have been implemented. The results of the four considered simulation strategies are in very good agreement, proving that the smallsignal simulation strategy can be profitably used in order to reduce significantly the computational cost. As an example, the paper considers a two port mutual inductor as a test model.
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