Abstract

The escape performance of ejection seat under adverse attitudes is the key technology for the 4th generation ejection seat, and the design of control law algorithm is the core problem for attitude and trajectory adjustment. A new control law design method was presented. Firstly, a simulation model for the entire ejecting process was established and a control parameter optimization model was designed, through which an optimum parameter set was obtained as the discrete control law. Then, by utilizing multilayer feedback of the error back propagation (BP) algorithm based neural network model, the ultimate continuous control law can be acquired under the whole ejecting conditions. The roll attitude ejecting condition was exampled to design and validate the approached method. The results indicate that the performance of ejection seat by adopting the control law designed by the proposed method is higher than the multi-mode control law and the K3JI-3.5 ejection.

Highlights

  • The ejection seat is an important life-saving equipment for emergency escape and safe rescue of the pilot

  • By using the point set as the sample data, designing the neural network model and training, the continuous nonlinear mapping process of the control law algorithm can be completed

  • The parameters are the ignition time interval of the left and right roll rocket and the main rocket switch. It can be seen from the analysis that the former mainly problem is the optimal value in different ejection states, while the latter is the determination of the critical parameter value, which is the main limitation of the design method of the mode division control law

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Summary

Introduction

The ejection seat is an important life-saving equipment for emergency escape and safe rescue of the pilot. After the ejection seat leaves the aircraft, the process needs to be controlled . When the seat has attitude trajectory control or high-speed airflow protection device, it is necessary to determine the appropriate working parameters according to the specific ejection state. All controls involved in the timing or process of ejection seat operation are called the sequence control technology of the ejection seat

Design program
Mathematical model
Simulation model
Control method
Neural network model
Results
Conclusions
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