AI Summary & Key Takeaways
AI InsightThe viability and effectiveness of the ωr and Rs estimation techniques are demonstrated via stability/sensitivity analyses, MATLAB software simulations, and Typhoon Hardware In-the-Loop (HIL) - 402.
📌 3 Key Takeaways
Özet
This paper presents the estimation techniques for rotor speed (ωr), rotor position (ρmr), and stator resistance (Rs) for a Permanent-Magnet Synchronous- Motor (PMSM) drive. An online speed-/position- estimation technique is essential to make the drive mechanically robust and to increase its reliability. The instantaneous and steady state Fictitious Quantity (Y) is used to build a Model Reference Adaptive System (MRAS) as a basic structure for estimating ωr and Rs for a vector-controlled PMSM drive. MRAS models are constructed using reference voltages and actual currents in a rotor reference frame. This scheme involves less computation effort and simple expressions without any integration and differentiation terms. The Y-MRAS speed-estimation technique performs satisfactorily over a reactive power MRAS-based speed estimator under a slow zero crossing for the PMSM drive. However, this technique depends on stator resistance. The proper identification of Rs (by YR-MRAS) gives information about the machine’s operating range and is also used in the online Rs compensation for the Y-MRAS technique. The proposed methods are applicable to all types of PMSM machines and are verified for various speed and load variations. The viability and effectiveness of the ωr and Rs estimation techniques are demonstrated via stability/sensitivity analyses, MATLAB software simulations, and Typhoon Hardware In-the-Loop (HIL) - 402.