Design of digital simulation software for flight control software based on multi-source data fusion

Chao Zhang; Ai ju Shao; Guang yao Cheng; Dong dong Wang; Tian Zhang; Yue xi Wang; Hai hong Fang

doi:10.1117/12.2656735

20 October 2022 Design of digital simulation software for flight control software based on multi-source data fusion

Chao Zhang, Ai ju Shao, Guang yao Cheng, Dong dong Wang, Tian Zhang, Yue xi Wang, Hai hong Fang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245133 (2022) https://doi.org/10.1117/12.2656735
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Aiming at the difficulty of verification and test caused by the complex structure and timing logic of multi-source data fusion flight control software algorithm, this paper puts forward the digital simulation technology of flight control software, which simulates the reference clock of flight control software, the external link equipment of flight control software, and the functions of sensor data, actuator data, data communication interface, hardware driver, thread scheduling and so on. The simulation software technology enables the self-development stage of flight control software to get rid of the constraints of hardware simulator debugging conditions, quickly and conveniently verify the correctness of the timing logic and algorithm implementation of flight control software, greatly shorten the cycle of software development and unit test, save the development cost and improve the efficiency and quality of flight control software development.

Citation Download Citation

Chao Zhang, Ai ju Shao, Guang yao Cheng, Dong dong Wang, Tian Zhang, Yue xi Wang, and Hai hong Fang "Design of digital simulation software for flight control software based on multi-source data fusion", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245133 (20 October 2022); https://doi.org/10.1117/12.2656735

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