The method of simulated smoke instead of real fire smoke is usually used to verify the compliance of the smoke detection system in aircraft cargo compartments. However, the difference between the two kinds of smoke leads to varying response times of the smoke detection system, which will affect the reliability of its airworthiness certification procedure. A model-free adaptive flow control (MFAC) method for simulated smoke in aircraft cargo compartments is proposed to improve the accuracy of the smoke detection system. First, the MFAC controller is designed based on the I/O data, and it avoids the dependence on the accurate mathematical model. Then, the experimental equipment and conditions are introduced. Finally, the effectiveness of the method is verified through target tracking experiments based on a full-scale experimental cargo compartment. Results show that the simulated smoke has a consistent diffusion trend with the real fire smoke error. Therefore, the proposed method can realize the flow control of simulated smoke, improve the accuracy of the smoke detection system, and provide technical guidance for the compliance verification work.

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Model-Free Adaptive Flow Control of Simulated Smoke in Aircraft Cargo Compartments

  • Jianzhong Yang,
  • Xinru Wang,
  • Xiyuan Chen

摘要

The method of simulated smoke instead of real fire smoke is usually used to verify the compliance of the smoke detection system in aircraft cargo compartments. However, the difference between the two kinds of smoke leads to varying response times of the smoke detection system, which will affect the reliability of its airworthiness certification procedure. A model-free adaptive flow control (MFAC) method for simulated smoke in aircraft cargo compartments is proposed to improve the accuracy of the smoke detection system. First, the MFAC controller is designed based on the I/O data, and it avoids the dependence on the accurate mathematical model. Then, the experimental equipment and conditions are introduced. Finally, the effectiveness of the method is verified through target tracking experiments based on a full-scale experimental cargo compartment. Results show that the simulated smoke has a consistent diffusion trend with the real fire smoke error. Therefore, the proposed method can realize the flow control of simulated smoke, improve the accuracy of the smoke detection system, and provide technical guidance for the compliance verification work.