Electronics Optics & Control, Volume. 32, Issue 4, 71(2025)

Adaptive Disturbance Rejection Control Algorithm for Airborne Optoelectronic Stabilized Platform

GUO Haorui, HU Leili, LI Li, and WANG Jian’gang
Author Affiliations
  • Luoyang Institute of Electro-Optical Equipment, AVIC, Luoyang 471000, China
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    Aiming at the problems of large temperature variation range, obvious parameter perturbation of current airborne optoelectronic stabilized platform, and insufficient disturbance suppression ability of existing control methods, a Model Reference Adaptive Linear Active Disturbance Rejection Control (MRALADRC) method is proposed. Firstly, a Model-based Linear Extended State Observer (MLESO) is designed to realize perturbation observation, combined with the analysis of parameter perturbation by generalized root locus method and the idea of Model Reference Adaptive Control (MRAC) of automatic control parameter, adjusting an adaptive disturbance rejection control law is designed, and the stability is analyzed by Lyapunov method. The simulation results show that when the characteristic gain is 0.2, 1 and 5 times of the original value respectively, compared with Model-based Linear Active Disturbance Rejection Control (MLADRC) method, the peak value and variance of the disturbance isolation error of the stabilized platform are greatly reduced after adopting the proposed method. In step response experiment, when the characteristic gain is 0.44, 0.66, 1.5 and 2.25 times of the original value, the step response time of MLADRC increases by 24%~122%, while the adjustment time of MRALADRC remains unchanged. It can be seen that MRALADRC method can effectively improve the disturbance isolation ability of optoelectronic stabilized platform and reduce the dynamic error in the presence of large-scale parameter perturbations, it also shows strong robustness.

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    GUO Haorui, HU Leili, LI Li, WANG Jian’gang. Adaptive Disturbance Rejection Control Algorithm for Airborne Optoelectronic Stabilized Platform[J]. Electronics Optics & Control, 2025, 32(4): 71

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    Paper Information

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    Received: Jun. 21, 2024

    Accepted: Apr. 11, 2025

    Published Online: Apr. 11, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.04.011

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