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 smok...
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MDPI AG
2025-02-01
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| author | Xiyuan Chen Pengxiang Wang Xinru Wang Taian Zhao Shanghua Guo Jianzhong Yang |
| author_facet | Xiyuan Chen Pengxiang Wang Xinru Wang Taian Zhao Shanghua Guo Jianzhong Yang |
| author_sort | Xiyuan Chen |
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| description | 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. |
| format | Article |
| id | doaj-art-7793f11f9e1744f4a7f2e70a89e0914c |
| institution | DOAJ |
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| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
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| series | Aerospace |
| spelling | doaj-art-7793f11f9e1744f4a7f2e70a89e0914c2025-08-20T02:44:33ZengMDPI AGAerospace2226-43102025-02-0112214810.3390/aerospace12020148Design of an Unsteady Smoke Simulation System for the Airworthiness Verification of Smoke Detection in Aircraft Cargo Compartments Based on the Adaptive Flow Control MethodXiyuan Chen0Pengxiang Wang1Xinru Wang2Taian Zhao3Shanghua Guo4Jianzhong Yang5College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, ChinaFlight Test Center, Commercial Aircraft Corporation of China, Shanghai 200232, ChinaCollege of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, ChinaControlling 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.https://www.mdpi.com/2226-4310/12/2/148flow controladaptive controlactuating methodaircraft cargo compartmentairworthiness verification |
| spellingShingle | Xiyuan Chen Pengxiang Wang Xinru Wang Taian Zhao Shanghua Guo Jianzhong Yang 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 Aerospace flow control adaptive control actuating method aircraft cargo compartment airworthiness verification |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | flow control adaptive control actuating method aircraft cargo compartment airworthiness verification |
| url | https://www.mdpi.com/2226-4310/12/2/148 |
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