Abstract
To solve the lack of artificial intelligence (AI) education platforms, an online aircraft control platform is designed in this paper. Compared with the traditional ways, our platform is cheaper and more intuitive, covers more theories, and is more interesting for students. This system is based on PX4, an open-source aircraft control framework. We emphasize three parts: 1. Estimation algorithms, applying AI theories to estimate the position and attitude of the aircraft by sensor data. 2. Control algorithms, using classic control theories, such as PID to control position and attitude. 3. simulator, which allows users to examine their works intuitively in a more safely and conveniently way. Leading the novice learners to study in this platform will make them have a better command of AI and control theories and raises their interest in studying in the future.
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Acknowledgements
This work was supported by the National Key R&D Program of China (No. 2017YFE0129700), the National Natural Science Foundation of China (Key Program) (No. 11932013), the National Natural Science Foundation of China (No. 61673224), the Tianjin Natural Science Foundation for Distinguished Young Scholars (No. 18JCJQJC46100), and the Tianjin Science and Technology Plan Project (No. 18ZXJMTG00260).
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Yu, Y., Kang, F., Duan, F. (2022). An Online Aircraft Control Platform for the Online Artificial Intelligence Education. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_261
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DOI: https://doi.org/10.1007/978-981-15-8155-7_261
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