An adaptive nonlinear extended state observer for the sensorless speed control of a PMSM

Minggang Gan, Chenyi Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper presents a sensorless speed control strategy for a permanent-magnet synchronous motor (PMSM) based on an adaptive nonlinear extended state observer (ANLESO). In this paper, an extended state observer (ESO), which takes back-EMF (back electromotive force) as an extended state, is used to estimate the rotor position and the rotor speed because of its simpler structure and higher accuracy. Both linear ESO (LESO) and nonlinear ESO (NLESO) are considered to estimate the back-EMF of PMSM, and NLESO is finally implemented due to its obvious advantage in convergence. The convergence characteristics of the estimation error of the observer are analyzed by the Lyapunov theory. In order to take both stability and steady-state error into consideration, an adaptive NLESO is proposed, which adaptively adjusts the parameters of NLESO to a compromised value. The performance of the proposed method was demonstrated by simulations and experiments.

Original languageEnglish
Article number807615
JournalMathematical Problems in Engineering
Volume2015
DOIs
Publication statusPublished - 2015

Fingerprint

Dive into the research topics of 'An adaptive nonlinear extended state observer for the sensorless speed control of a PMSM'. Together they form a unique fingerprint.

Cite this