TY - GEN
T1 - A Full-Order State Sliding Mode Observer for Sensorless Control of UAV PMSM with Online Temperature Identification Strategy
AU - Li, Zhiqi
AU - Li, Chengrui
AU - Wang, Yi
AU - Zhang, Erxuan
AU - Gao, Huizhen
AU - Su, Jian
AU - Mei, Zeting
AU - Wen, Hao
N1 - Publisher Copyright:
© 2025 Korean Institute of Electrical Engineers Electrical Machinery and Energy Conversion Systems Society.
PY - 2025
Y1 - 2025
N2 - In the sensorless control system of Unmanned Aerial Vehicle (UAV) permanent magnet synchronous motor (PMSM), online temperature monitoring is critical for ensuring operational safety. During PMSM operation, excessively high temperatures may lead to permanent magnet demagnetization and stator winding insulation damage, which seriously affects the reliability and service life of the UAV. In order to address this issue, this paper proposes a full-order state sliding mode observer method with integrated online temperature identification. First, a full-order state sliding mode observer is constructed in the estimated γ-δ reference frame. This observer takes stator currents and extended back electromotive force (EEMF) as state variables, which can improve the system robustness and dynamic observation performance. Then, an affine projection algorithm (APA) is designed in the γ-δ reference frame. By selecting regularization parameters via a piecewise method, stator resistance is identified in real time to indirectly acquire stator temperature information. This approach ensures both convergence speed and steady-state accuracy while avoiding the use of additional temperature sensors. The experimental results demonstrate that the proposed full-order state sliding mode observer not only accurately estimates rotor position and speed but also achieves real-time temperature monitoring of UAV across the entire speed range.
AB - In the sensorless control system of Unmanned Aerial Vehicle (UAV) permanent magnet synchronous motor (PMSM), online temperature monitoring is critical for ensuring operational safety. During PMSM operation, excessively high temperatures may lead to permanent magnet demagnetization and stator winding insulation damage, which seriously affects the reliability and service life of the UAV. In order to address this issue, this paper proposes a full-order state sliding mode observer method with integrated online temperature identification. First, a full-order state sliding mode observer is constructed in the estimated γ-δ reference frame. This observer takes stator currents and extended back electromotive force (EEMF) as state variables, which can improve the system robustness and dynamic observation performance. Then, an affine projection algorithm (APA) is designed in the γ-δ reference frame. By selecting regularization parameters via a piecewise method, stator resistance is identified in real time to indirectly acquire stator temperature information. This approach ensures both convergence speed and steady-state accuracy while avoiding the use of additional temperature sensors. The experimental results demonstrate that the proposed full-order state sliding mode observer not only accurately estimates rotor position and speed but also achieves real-time temperature monitoring of UAV across the entire speed range.
KW - affine projection algorithm (APA)
KW - full-order state sliding mode observer
KW - online temperature identification
KW - permanent magnet synchronous motor (PMSM)
KW - sensorless control
UR - https://www.scopus.com/pages/publications/105032864832
U2 - 10.23919/ICEMS66262.2025.11317401
DO - 10.23919/ICEMS66262.2025.11317401
M3 - 会议稿件
AN - SCOPUS:105032864832
T3 - ICEMS 2025 - 28th International Conference on Electrical Machines and Systems
SP - 1474
EP - 1479
BT - ICEMS 2025 - 28th International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Conference on Electrical Machines and Systems, ICEMS 2025
Y2 - 16 November 2025 through 19 November 2025
ER -