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CEAS EuroGNC 2022 |
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Intelligent Aircraft Stabilization Control with Event-Triggered Scheme |
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Abstract: This paper develops an intelligent optimal stabilization control approach that can be applied to general flight control systems. The self-learning controller is developed based on dual heuristic programming (DHP) in cooperation with the event-triggered scheme to save computational load. Besides, the control inputs can be handled by the combination of an integral cost function and a bounding actor network. A simulation study is carried out based on a nonlinear aerospace system to demonstrate the applicability of the constructed approach. The results show that the proposed event-triggered DHP control approach can maintain comparable performance with the time-based approach and meanwhile substantially decrease the amount of computation. The source code can be found at https://github.com/sunbojason/Event-triggered-DHP. | ||||||||
Keywords: Flight Control System; Dual Heuristic Programming; Event-Triggered Scheme; Input Constraints | ||||||||
View PDF CEAS-GNC-2022-075 |
Bo Sun, Cheng Liu, Killian Dally, Erik-Jan van Kampen: Intelligent Aircraft Stabilization Control with Event-Triggered Scheme. Proceedings of the 2022 CEAS EuroGNC conference. Berlin, Germany. May 2022. CEAS-GNC-2022-075. |
BibTeX entry: @Incollection{CEAS-GNC-2022-075, authors = {Sun, Bo and Liu, Cheng and Dally, Killian and van Kampen, Erik-Jan}, title = {Intelligent Aircraft Stabilization Control with Event-Triggered Scheme}, booktitle = {Proceedings of the 2022 {CEAS EuroGNC} conference}, address = {Berlin, Germany}, month = may, year = {2022}, note = {CEAS-GNC-2022-075} } |