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Fast disturbance rejection for inertial stabilization platforms based on a nonlinear adaptive sliding-mode-assisted
Zhishu Wang1, Yutang Wang1, Rui Xu1
1State Key Laboratory of Dynamic Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China; University of Chinese Academy of Sciences, 100049, Beijing, China.
None:
The inherent dynamic mechanism of existing disturbance observer (DOB)-based methods usually leads to non-negligible transient residual errors when abrupt and fast-varying disturbances occur. In particular, the insufficiently fast suppression of DOB residual effects remains a key issue in inertial stabilization platforms under abrupt disturbances. To address this issue, this paper proposes a nonlinear adaptive sliding-mode-assisted disturbance observer (NASMADO) for abrupt-disturbance rejection in inertial stabilization platforms. In the proposed framework, a tracking-differentiator-based disturbance observer is used to estimate the dominant lumped disturbance, while an adaptive sliding-mode-assisted term is introduced to compensate for the residual estimation error of the observer. A specially designed adaptive law enables the switching gain to increase rapidly in response to abrupt residual variations without requiring prior knowledge of the disturbance bound. Lyapunov-based stability analysis is conducted to verify the stability of the proposed method. Comparative experiments on an inertial stabilization platform demonstrate that the proposed NASMADO provides stronger abrupt-disturbance rejection and better transient performance than conventional DOB- and ASMDO-based anti-disturbance methods.
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