Design of an Unsteady Smoke Simulation System for the Airworthiness Verification of Smoke Detection in Aircraft Cargo Compartments Based on the Adaptive Flow Control Method

Controlling the simulated smoke flow field is important in the airworthiness verification experiment for the smoke detection system in aircraft cargo compartments to accurately replicate actual fire smoke. In existing studies, the unsteady adjustment performance of the actuator to the simulated smoke flow field has not been comprehensively evaluated, and the model-based closed-loop flow control method encounters the unmodeled dynamics of the complex turbulent flow field. To solve the aforementioned problems, this study first uses the system identification method to obtain transfer function models for different actuation modes. Moreover, the transient adjustment capabilities of different actuation modes for the simulated smoke flow field are thoroughly evaluated. Then, an adaptive flow control law based on a radial basis function neural network is designed based on the selected actuating mode. Furthermore, closed-loop control experiments based on the adaptive control law are performed. The root locus of the transfer functions for two different actuation modes are compared, which reveals that adjusting the flow rate of simulated smoke exhibits a better stability margin than the actuation mode that regulates the upward momentum of simulated smoke. The experimental results in a full-scale mock-up of an aircraft cargo compartment demonstrate that the designed control law realizes dynamic tracking control with the unsteady concentration of actual fire smoke as the control target. Compared with that of PID control, the root mean square error of the control system is reduced by more than 40%. The simulated smoke under the closed-loop control obtains a light-transmission response equivalent to that of the actual fire smoke within a 5% error margin. The proposed closed-loop adaptive flow control method for simulated smoke approximates the unsteady process of actual fire smoke. It provides technical support for the replacement of actual fire smoke in the airworthiness verification experiment of smoke detection in aircraft cargo compartments.

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Publication Details

Journal
Aerospace
Published
2025-02-16
DOI
https://doi.org/10.3390/aerospace12020148
Citations
2
Primary Topic
Fire dynamics and safety research
Type
article
Field-Weighted Citation Impact
2.61

Funders

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article

Design of an Unsteady Smoke Simulation System for the Airworthiness Verification of Smoke Detection in Aircraft Cargo Compartments Based on the Adaptive Flow Control Method

Taian Zhao, Shanghua Guo, Xinru Wang, Pengxiang Wang et al.
2 citations
Aerospace
Fire dynamics and safety research
2.61
article

Design of an Unsteady Smoke Simulation System for the Airworthiness Verification of Smoke Detection in Aircraft Cargo Compartments Based on the Adaptive Flow Control Method

Taian Zhao, Shanghua Guo, Xinru Wang, Pengxiang Wang, Xiyuan Chen, Jianzhong Yang
article en
2 citations

Abstract

Controlling the simulated smoke flow field is important in the airworthiness verification experiment for the smoke detection system in aircraft cargo compartments to accurately replicate actual fire smoke. In existing studies, the unsteady adjustment performance of the actuator to the simulated smoke flow field has not been comprehensively evaluated, and the model-based closed-loop flow control method encounters the unmodeled dynamics of the complex turbulent flow field. To solve the aforementioned problems, this study first uses the system identification method to obtain transfer function models for different actuation modes. Moreover, the transient adjustment capabilities of different actuation modes for the simulated smoke flow field are thoroughly evaluated. Then, an adaptive flow control law based on a radial basis function neural network is designed based on the selected actuating mode. Furthermore, closed-loop control experiments based on the adaptive control law are performed. The root locus of the transfer functions for two different actuation modes are compared, which reveals that adjusting the flow rate of simulated smoke exhibits a better stability margin than the actuation mode that regulates the upward momentum of simulated smoke. The experimental results in a full-scale mock-up of an aircraft cargo compartment demonstrate that the designed control law realizes dynamic tracking control with the unsteady concentration of actual fire smoke as the control target. Compared with that of PID control, the root mean square error of the control system is reduced by more than 40%. The simulated smoke under the closed-loop control obtains a light-transmission response equivalent to that of the actual fire smoke within a 5% error margin. The proposed closed-loop adaptive flow control method for simulated smoke approximates the unsteady process of actual fire smoke. It provides technical support for the replacement of actual fire smoke in the airworthiness verification experiment of smoke detection in aircraft cargo compartments.

AerospaceVol. 12(2)
Commercial Aircraft Corporation of China (China) (CN), Civil Aviation University of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Fire dynamics and safety research
2.61
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