HUANG Jingtao, YANG Yihao, LIU Xiaoke, et al. Low‑chattering disturbance‑rejection control of permanent magnet synchronous motors based on adaptive partitioning sliding mode reaching law[J]. Power System Protection and Control, 2026, 54(17).
DOI:
HUANG Jingtao, YANG Yihao, LIU Xiaoke, et al. Low‑chattering disturbance‑rejection control of permanent magnet synchronous motors based on adaptive partitioning sliding mode reaching law[J]. Power System Protection and Control, 2026, 54(17).DOI: 10.19783/j.cnki.pspc.260141.
Low‑chattering disturbance‑rejection control of permanent magnet synchronous motors based on adaptive partitioning sliding mode reaching law
摘要
针对传统滑模控制在永磁同步电机 (permanent magnet synchronous motor
To address the problem that classical sliding mode control is difficult to balance chattering suppression and disturbance rejection for high‑performance control of permanent magnet synchronous motors (PMSMs)
an adaptive partitioning sliding mode control strategy is proposed. First
the application of sliding mode control to PMSMs and the effect of sliding mode chattering on system performance are discussed. A power law piecewise function is designed to modify the switching trajectory of the sliding mode controller
thereby mitigating system chattering. Second
considering the influence of uncertain disturbances in PMSMs on system convergence
a novel double‑power reaching law is constructed by combining the power‑law piecewise function with the sliding mode state variables
which reduces the adverse effect of the initial states and ensures finite‑time convergence. Then
a variable exponent term and an adaptive switching term are introduced into the dual‑power reaching law to divide the system into acceleration
transition
and convergence regions. An adaptive partitioning sliding mode control strategy is thereby established to suppress chattering while further improving disturbance rejection performance. Finally
experiments are conducted to verify the disturbance rejection capability and chattering suppression performance of the proposed method. The results demonstrate that the proposed method can effectively improve the control performance of PMSMs.
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references
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