改进型免疫克隆布谷鸟算法求解软后坐火炮多参数辨识

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (21) : 43-51.

论文

赵伟1，侯保林2，鲍丹1

作者信息 +

Multi-parameter identification of soft recoil artillery launch process using IICCA

ZHAO Wei1, HOU Baolin2, BAO Dan1

Author information +

文章历史 +

摘要

软后坐火炮利用前冲动能抵消部分后坐能量，从而减小火炮发射过程中的冲击与振动。为进一步研究软后坐火炮发射过程中的动力学特性以及解决软后坐火炮发射过程动力学模型多参数辨识困难的问题，首先依据伯努利方程建立软后坐火炮发射过程的动力学模型，其次提出了一种改进型免疫克隆布谷鸟算法(improved immune clone cuckoo algorithm，IICCA)。该算法在更新过程中引入随机交叉与高频变异提高了算法的局部搜索能力，引入自适应算子来克服算法不易取得最佳概率值的问题，引入精英抗体提取算子来提高算法的计算效率。为进一步提高算法的收敛速度，引入动态疫苗接种策略，对疫苗接种后的抗体种群采用莱维飞行和巢寄生行为进行二次搜索。通过5个多峰测试函数对改进算法进行验证，计算结果表明该改进算法相比免疫克隆选择算法、免疫遗传算法、自适应粒子群算法和改进型布谷鸟算法均具有更高的计算精度和更快的收敛速度。最终，辨识结果与实验结果的曲线相似度高达97.02%，表明IICCA在解决软后坐火炮发射过程多参数辨识问题上的有效性和准确性。

Abstract

The soft recoil gun uses the forward rushing energy to offset part of the recoil energy so as to reduce the shock and vibration during the firing process. In order to further research the dynamic characteristic of soft recoil gun and solve the problem of multi-parameter identification of the dynamic model of the soft recoil gun during the firing process, a dynamic model of soft recoil gun is established based on the Bernoulli equation and an improved immune clone cuckoo algorithm (IICCA) is proposed. In the updating process, the algorithm introduces random crossover and high-frequency mutation to improve the local search ability of the algorithm, introduces adaptive operator to overcome the problem that the algorithm is not easy to obtain the best probability value, and introduces elite antibody extraction operator to improve the computational efficiency of the algorithm. Dynamic vaccination strategy is introduced and the antibody after vaccination is carried out according to the Lévy flight update strategy and nest parasitic behavior to further improve the algorithm convergence speed. The improved algorithm is tested by 5 multi-peak test functions. The results show that the improved algorithm has higher computational accuracy and faster convergence speed than immune clonal selection algorithm, immune genetic algorithm, adaptive particle swarm optimization and improved cuckoo search algorithm. Finally, the curve similarity between the identified results and the experimental results is as high as 97.02%, which shows that IICCA is effective and accurate in solving the multi-parameter identification problem of the soft recoil gun firing process.

导出引用

赵伟1，侯保林2，鲍丹1. 改进型免疫克隆布谷鸟算法求解软后坐火炮多参数辨识[J]. 振动与冲击, 2023, 42(21): 43-51

ZHAO Wei1, HOU Baolin2, BAO Dan1. Multi-parameter identification of soft recoil artillery launch process using IICCA[J]. Journal of Vibration and Shock, 2023, 42(21): 43-51

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