Simplified Quadratic Optimization based IPMSM Full-Speed Range Rotor Position Estimation in Synchronous Rotating Frame
Fei Peng (Southeast University)
Zhi Cao (Southeast University)
J. Dong (TU Delft - DC systems, Energy conversion & Storage)
Yunkai Huang (Southeast University)
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Abstract
This article proposes a rotor position and speed estimation method for the interior permanent magnet synchronous machine (IPMSM) in the full-speed range. The proposed method is implemented in the synchronous rotating frame. Based on the voltage equation of the IPMSM in the synchronous rotating frame, a single-variable optimization problem is formulated to solve the rotor position at each current sampling step. After that, the solved position is fed into a phase-locked loop observer to obtain the estimated rotor speed and smooth out the estimation. The proposed position and speed estimation methods are effective from standstill to high speed, and no estimation algorithm switching is needed during speed variation. Details about the convexity of the optimization problem, the effects of parameter mismatch and sampling noise, and the solving method of the problem are discussed. Finally, experiments are conducted in both steady and dynamic situations to validate the effectiveness and robustness of the proposed algorithm.