Open AccessA modified active disturbance rejection control for fast steering mirror in aerospace application
Author(s) -
Xinqian Zheng,
Huang Hai,
Weipeng Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1509/1/012028
Subject(s) - differentiator , control theory (sociology) , active disturbance rejection control , robustness (evolution) , computer science , control engineering , tracking error , tracking (education) , bandwidth (computing) , controller (irrigation) , nonlinear system , aerospace , state observer , engineering , control (management) , artificial intelligence , psychology , computer network , pedagogy , biochemistry , chemistry , physics , agronomy , quantum mechanics , biology , gene , aerospace engineering
Active disturbance rejection control (ADRC) has proved to be an effective tool in dealing with engineering problems related to the plant along with dynamic uncertainties, disturbances, nonlinearities. A modified active disturbance rejection control (MADRC) method is proposed to design the Fast Steering Mirror (FSM) controller. The modified extended state observer (ESO) incorporate with identified plant information is employed to reject the disturbances, nonlinear factors and modelling errors which meant to constraint the plant to a nominal form. Therewith, an well-designed analytical method is introduced to calculate the parameters of a feedback loop to force the plant response like a pre-designed model. Besides, a Lead-Leg Controller (LLC) consisting of two Tracking-Differentiator (TD) is designed to improve the performance of the controller. LLC generates a filtered output based on the expected plant dynamics to increase the FSM bandwidth, and LLC can also help to improve the stability of the system by restricting the tracking error in a limited range when there is an abrupt command input. The MADRC strategy is proven an effective solution for FSM. Simulation results show that the MADRC method can achieve a excellent performance without tedious tuning work. The experiment results proved the validation in practical application.