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10 August 2023 Study on fuzzy PID control characteristics of gun vertical stabilizer load simulation system
Hao Zhang, Yunguang Ji, Hongtao Li
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Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127590K (2023) https://doi.org/10.1117/12.2686370
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
Aiming at solving the problem of long-time consumption in the process of testing the gun vertical stabilizer system, a mathematical model was established, and the fuzzy PID control algorithm was designed, and its simulation model was established based on the AMESim/Simulink joint simulation platform, and the control performance of the PID control algorithm and the fuzzy PID control algorithm for the artillery vertical stabilizer system and the loading system at a given sinusoidal signal was analyzed. The results show that compared with the traditional PID control algorithm, the maximum loading error of the system is reduced by 5000N, and the fuzzy PID control algorithm has a better control performance, which provides a reference for the research of load simulation system.
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Hao Zhang, Yunguang Ji, and Hongtao Li "Study on fuzzy PID control characteristics of gun vertical stabilizer load simulation system", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127590K (10 August 2023); https://doi.org/10.1117/12.2686370
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KEYWORDS
Control systems
Fuzzy logic
Computer simulations
Servomechanisms
Mathematical modeling
Design and modelling
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