Content area
In commercial electrical equipment, the popular sensorless drive scheme for the interior permanent magnet synchronous motor, based on the quasi-sliding mode observer (QSMO) and phase-locked loop (PLL), still faces challenges such as position errors and limited applicability across a wide speed range. To address these problems, this paper analyzes the frequency domain model of the QSMO. A QSMO-based parameter adaptation method is proposed to adjust the boundary layer and widen the speed operating range, considering the QSMO bandwidth. A QSMO-based phase lag compensation method is proposed to mitigate steady-state position errors, considering the QSMO phase lag. Then, the PLL model is analyzed to select the estimated speed difference for transient position error compensation. Specifically, a transient position error compensator based on a feedback time delay neural network (FB-TDNN) is proposed. Based on the back propagation learning algorithm, the specific structure and optimal parameters of the FB-TDNN are determined during the offline training process. The proposed parameter adaptation method and two position error compensation methods were validated through simulations in simulated wide-speed operation scenarios, including sudden speed changes. Overall, the proposed scheme fully mitigates steady-state position errors, substantially mitigates transient position errors, and exhibits good stability across a wide speed range.
Details
Coordinate transformations;
Neural networks;
Phase locked loops;
Position sensing;
Bandwidths;
Compensators;
Sensors;
Back propagation networks;
Steady state;
Adaptation;
Synchronous motors;
Design;
Algorithms;
Electrical equipment;
Error analysis;
Methods;
Machine learning;
Boundary layers;
Parameters;
Permanent magnets;
Electric equipment;
Error compensation;
Position errors
; Guo, Jiawei 1
; Jiang, Xiongwen 1
; Kawaguchi, Takahiro 1
; Hashimoto, Seiji 1
; Jiang, Wei 2
1 Division of Electronics and Informatics, Gunma University, Kiryu 376-8515, Japan;
2 Department of Electrical Engineering, Yangzhou University, Yangzhou 225127, China;