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| A study on flexible multi-body system dynamics optimization of an overhead weapon station based on an adaptive hybrid approximation model |
| FENG Shuai1,MAO Baoquan1,WANG Zhiqian1,ZHU Rui1,DENG Wei2 |
1.Department of Weapons and Control, Army Academy of Armored Forces, Beijing 100072, China;
2.Department of Mechanical and Electrical Engineering, Army Academy of Special Operation Forces, Guangzhou 510000, China |
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Abstract optimization strategy using adaptive hybrid approximation model is proposed for the problems of large computational complexity and low optimization efficiency in the structural optimization of overhead weapon station. The idea of layered design space reduction is introduced, and in the optimization iteration process, the hybrid approximation model is updated by successively selecting sample points in the constructed global space, cluster space and key space to improve the global and local prediction capabilities of the model. The effectiveness of the proposed optimization strategy is verified by using a typical test function example and a structural dynamic optimization example of an overhead weapon station. The results show that, the objective function of the muzzle disturbance of the weapon station obtained by this design is decreased by 58.3 %, and the muzzle disturbance parameters are effectively improved. Furthermore, compared to the static approximation model algorithm, the objective function of the muzzle disturbance is reduced by 14.5 %, and the times of calling the weapon station analysis calculation model are reduced by 47.4 %.
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Received: 19 September 2018
Published: 15 June 2020
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