Abstract: |
According to the principle of inertial loading, a parameterized ammunition ramming motion model is established based on virtual prototyping technology, and the state of ammunition ramming motion is regulated by asymmetric S curve velocity planning method, so as to achieve the consistency of bayonet chamber velocity under different loading angles and reduce the maximum power of ammunition ramming motion. With the parameters of bayonet chamber as the constraint, a motion optimization model for inertial loading was established, so as to achieve the consistency of bayonet chamber velocity and reduce the maximum power under different loading angles. Multi island genetic algorithm and modified method of feasible directions are used to solve the optimization model. The optimization results show that the optimized ammunition ramming motion can achieve the consistency of bayonet chamber velocity under different loading angles, and the maximum power of ammunition ramming motion is reduced by 14.9%, which verifies the effectiveness of the method. |