A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method

• Published in: IEEE journal of emerging and selected topics in power electronics Vol. 10; no. 2; pp. 1946 - 1962
• Main Authors: Himker, Niklas, Lindemann, Georg, Wiedmann, Karsten, Weber, Bastian, Mertens, Axel
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Anisotropy; Coders; Cost function; Couplings; current oversampling; Estimators; field-programmable gate array (FPGA); Inductance; Mathematical model; Performance evaluation; permanent magnet synchronous machine (PMSM); Permanent magnets; Phase locked loops; Power electronics; Rotors; self-sensing control (SSC); Speed control; Synchronous machines; Vehicle dynamics
• ISSN: 2168-6777; 2168-6785
• DOI: 10.1109/JESTPE.2021.3065211

This article presents an evaluation of a family of adaptive position estimators (APEs) for anisotropy-based self-sensing control (SSC) of permanent magnet synchronous machine (PMSM). The APEs use the gradient descent method (GDM) to minimize a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this article. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived, which allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.