<p>In plateau environment, aircraft encounter significant challenges stemming from low air density, strong and turbulent winds, insufficient lift and stability, as well as a tendency toward lateral–longitudinal coupling instability. To mitigate these issues, distributed propulsion technology is introduced to improve both aerodynamic and handling performance. This is combined with a boundary protection control strategy designed to enhance flight safety under complex wind conditions. First, dynamic wind tunnel tests are carried out to examine the longitudinal and lateral aerodynamic characteristics of a distributed propulsion vehicle, leading to the development of aerodynamic and dynamic models. A flight control law is then devised, in which control parameters are adaptively tuned based on the real-time flight state, and the time-domain characteristics of the resulting closed-loop system are analyzed. By systematically evaluating the flight dynamics across a wide range of initial conditions, a dynamic safety boundary is established. On this basis, a boundary protection control scheme is developed using a deep neural network. Finally, altitude flight tests are performed within the prescribed dynamic boundary, and the results validate the effectiveness of the proposed boundary protection control method.</p>

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Safety boundary protection control for distributed propulsion vehicle operating in plateau environment

  • Zehong Dong,
  • Xingya Da,
  • Botao Zhang,
  • Longkai Guo

摘要

In plateau environment, aircraft encounter significant challenges stemming from low air density, strong and turbulent winds, insufficient lift and stability, as well as a tendency toward lateral–longitudinal coupling instability. To mitigate these issues, distributed propulsion technology is introduced to improve both aerodynamic and handling performance. This is combined with a boundary protection control strategy designed to enhance flight safety under complex wind conditions. First, dynamic wind tunnel tests are carried out to examine the longitudinal and lateral aerodynamic characteristics of a distributed propulsion vehicle, leading to the development of aerodynamic and dynamic models. A flight control law is then devised, in which control parameters are adaptively tuned based on the real-time flight state, and the time-domain characteristics of the resulting closed-loop system are analyzed. By systematically evaluating the flight dynamics across a wide range of initial conditions, a dynamic safety boundary is established. On this basis, a boundary protection control scheme is developed using a deep neural network. Finally, altitude flight tests are performed within the prescribed dynamic boundary, and the results validate the effectiveness of the proposed boundary protection control method.