IFLO-UKF Based Adaptive Noise Covariance Optimization Algorithm for PMSM Sensorless Control

JIAN Xianzhong; ZHI Jiale; GUO Qiang

doi:10.19554/j.cnki.1001-3563.2025.19.022

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (19) : 207-217. DOI: 10.19554/j.cnki.1001-3563.2025.19.022

Automatic and Intelligent Technology

IFLO-UKF Based Adaptive Noise Covariance Optimization Algorithm for PMSM Sensorless Control

JIAN Xianzhong¹, ZHI Jiale¹, GUO Qiang²

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Abstract

To enhance the control performance of permanent magnet synchronous motors (PMSMs) in packaging production lines, reduce reliance on Hall sensors, and construct a high-precision, low-cost sensorless control system, the work aims to propose a PMSM sensorless control algorithm based on the improved Flora Optimization (IFLO) algorithm combined with Unscented Kalman Filter (UKF). Firstly, the initial population diversity issue in the FLO algorithm was addressed by incorporating a lens reverse learning mechanism based on Sine chaotic mapping. Secondly, an adaptive pelican surface flight mechanism based on Levy distribution was introduced to overcome the performance bottlenecks of FLO in terms of insufficient accuracy and susceptibility to local optima. Finally, the IFLO algorithm was utilized to optimize the Q and R of UKF, thereby reducing the tracking error of rotor speed. The effectiveness of the IFLO algorithm was verified through benchmark function tests. Simulation results showed that the IFLO-UKF method had a steady-state mean absolute error of 2.07 rad/min in speed estimation and 0.019 7 rad in position estimation. Compared with existing methods, the speed estimation error was reduced to 29.4% of its original value, and the position estimation error was reduced to 23.8% of its original value. The proposed IFLO-UKF fusion strategy demonstrates excellent performance in improving the control accuracy of sensorless PMSMs and holds significant application potential.

Key words

permanent magnet synchronous motor / unscented Kalman filter / noise covariance matrix optimization / frilled lizard optimization

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JIAN Xianzhong, ZHI Jiale, GUO Qiang. IFLO-UKF Based Adaptive Noise Covariance Optimization Algorithm for PMSM Sensorless Control[J]. Packaging Engineering. 2025, 46(19): 207-217 https://doi.org/10.19554/j.cnki.1001-3563.2025.19.022

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