Extended Sliding Mode Disturbance Observer-Based Sensorless Control of IPMSM for Medium and High-Speed Range Considering Railway Application

Abstract

The sliding mode observer (SMO)-based approach known for its robustness towards parameter variation (external disturbance) has been used for the sensorless motor drive system. Delay compensation is commonly added to overcome the phased delay resulted from the introduction of the low-pass filter for chattering suppression. In this paper, a new extended sliding mode disturbance observer (ESMDO)-based sensorless control of interior permanent magnet synchronous motor for the medium and high-speed range is presented. The effect of parameter variation and coordinate transformation is considered as a lumped disturbance, and ESMDO is designed to compensate for the imminent impact of such scenarios. A Lyapunov stability theory is adopted to guarantee the stability of the proposed ESMDO-based sensorless control method. The ESMDO has an inbuilt low-pass filter and does not introduce a phased delay. A very large load change/reference speed variation may result in system instability or require higher controller gains that lead to system chattering. Hence, a PI-based compensation is incorporated to achieve a smooth and robust sensorless control algorithm considering the d-axis disturbance. Finally, extensive simulation and hardwarein-the-loop (HIL) test using the TMS320F28335 control unit in a real-time environment are conducted to verify the effectiveness of the proposed sensorless control method.INDEX TERMS Extended sliding mode disturbance observer (ESMDO), IPMSM, sensorless control, traction drive.

Development of a Resolver-to-Digital Converter Based on Second-Order Difference Generalized Predictive Control

“…The augmented model defined in (13) is obtained by placing (10) and (12) together in matrix form [32]:…”

“…A high error in the angular position estimation produces a high torque ripple that may lead to motor drive malfunctions [6]. Many sensorless techniques were proposed to estimate the angular position without using position sensors [7][8][9][10]. However, most sensorless techniques depend on motor parameters whose values cannot be measured accurately.…”

Development of a Resolver-to-Digital Converter Based on Second-Order Difference Generalized Predictive Control

“…For each ATO configuration, two tests were performed: without adding noise to the resolver outputs, and adding a noise (zero mean and 0.0002 variance) to the resolver outputs. Figures 9,10,11, 12 and 13 show the angle estimation error for each simulation test. Table 3 shows the root mean square error (RMSE) and the error settling time (the time required for the error signal to achieve its steady-state value) for each simulation test.…”

“…A high error in the angular position estimation produces a high torque ripple that may lead to motor drive malfunctions [6]. Many sensorless techniques were proposed to estimate the angular position without using position sensors [7][8][9][10]. However, most sensorless techniques depend on motor parameters whose values cannot be measured with accuracy.…”

Dual Quasi-Resonant Controller Position Observer Based on High Frequency Pulse Voltage Injection Method

“…The first is that the HF current is extracted by a constant bandwidth BPF, and a LPF is necessary to filter the noise in speed information, which will cause phase lag and decrease the dynamic performance, and this is not the best for wider speed range. [15], [16]. Mostly, the dead-time effect, which will cause the position error fluctuation in both the position error and the speed error [17], [18] is tackled as a problem in pulsating signal injection method as well.…”