An Improved Adaptive Smo for Speed Estimation of Sensorless Dsfoc Induction Motor Drives and Stability Analysis using Lyapunov Theorem at Low Frequencies

TL;DR

This paper introduces an improved adaptive sliding mode observer for sensorless induction motor drives, enhancing speed estimation accuracy and stability at low frequencies through Lyapunov-based gain design.

Contribution

The paper proposes a novel adaptive sliding mode observer with Lyapunov stability-based gain tuning, improving robustness and accuracy in low-frequency operation of sensorless induction motor drives.

Findings

Enhanced speed estimation accuracy at low frequencies

Improved transient and steady-state performance

Better stability and convergence of estimated variables

Abstract

In this paper, An Improved Adaptive Sliding Mode Observer (ASMO) is proposed to a Sensorless DSFOC Induction Motor Drives and their stability is analyzed. ASMO is used to estimate the Rotor Speed, Rotor Resistance, Flux, Stator and Rotor currents and the developed electromagnetic Torques.To improve the robustness and accuracy of an adaptive SMO during very low frequency operation, the sliding mode flux observer(SMFO) uses independent gains as the correction terms. The gains of current and rotor flux SMOs are designed using Lyapunov stability theory to guarantee the stability and fast convergence of the estimated variables. In this paper concentrated on Simulink Blocks and their graphs are analyzed with the help of mathematical approach. Also, comparison of results with the basic conventional controllers are done and the results proved that the proposed ASMO method shows excellent Transient and Steady state speed estimation by the Adaptive Estimators, particularly at low frequencies.