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In this paper, a supertwisting algorithm based second-order sliding-mode observer (STA-SMO) with online stator resistance ($ R_{s}$) estimation for sensorless control of a nonsalient permanent magnet synchronous machine is proposed. A stator current observer is designed based on an STA to estimate the back electromotive force. A discontinuous sign function in the conventional SMO is replaced by a...
This paper proposed a super-twisting algorithm based sliding mode observer (STA-SMO) for permanent magnet synchronous machine (PMSM) sensorless control, in which voltage-source inverter (VSI) nonlinearity is taken into consideration. A lookup table for online tunning sliding mode coefficients of STA-SMO is obtained based on existing stable conditions. Since mismatch between reference and actual voltage...
Online parameter estimation could improve the performance of sensorless control. In this paper, a super-twisting algorithm (STA) based second-order sliding-mode observer (SMO) sensorless control with online stator resistance estimation is proposed. The chattering problem and time delay, which could not be avoided in conventional SMO, are eliminated in this STA based second-order SMO. At the same time,...
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