| 引用本文: | 孙瑞胜,洪侨,陈晋璋,等.脉冲修正弹控制参数粒子群优化算法.[J].国防科技大学学报,2016,38(4):159-163.[点击复制] |
| SUN Ruisheng,HONG Qiao,CHEN Jinzhang,et al.Particle swarm optimization method for impulse-correction projectiles[J].Journal of National University of Defense Technology,2016,38(4):159-163[点击复制] |
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| 脉冲修正弹控制参数粒子群优化算法 |
| 孙瑞胜1, 洪侨1, 陈晋璋1, 孙传杰2 |
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(1. 南京理工大学 能源与动力工程学院， 江苏 南京 210094;2. 中国工程物理研究院 结构力学所， 四川 绵阳 621900)
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| 摘要: |
| 针对脉冲修正弹自身控制离散不连续特征，开展脉冲修正弹脉冲控制参数优化设计方法研究。考虑到脉冲成本和精度的双重要求，选择以脉冲发动机工作次数和脱靶量最少为双目标的函数。在风干扰条件下，提出以脉冲控制时间间隔为离散脉冲控制参数设计变量建立优化模型，以此发展一种改进型递减惯性权重粒子群优化脉冲控制参数的方法，提高修正参数优化收敛速度。仿真结果表明：该算法能快速有效地获得最优解，为在干扰条件下寻找最优的脉冲修正参数和脉冲工作方式提供一种优化设计思路。 |
| 关键词: 脉冲修正弹 离散化 优化设计 粒子群算法 |
| DOI：10.11887/j.cn.201604025 |
| 投稿日期：2015-05-08 |
| 基金项目:国家自然科学基金委员会与中国工程物理研究院联合基金资助项目(11176012); 一院高校联合创新基金资助项目(CALT201302) |
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| Particle swarm optimization method for impulse-correction projectiles |
| SUN Ruisheng1, HONG Qiao1, CHEN Jinzhang1, SUN Chuanjie2 |
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(1. School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. Institute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China)
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| Abstract: |
| According to the discontinuous characteristics of impulse correction projectile, a class of parameters optimization method for its control system was presented. Considering the two requirements of the correction cost and precision of impulse thrusters, the minimum amount of numbers of impulse thrusters and the control miss-distance were taken as a double-objective function, and it was put forward to select the time interval between the two neighboring impulse forces as design variable in condition of wind disturbance. Based on this, a modified particle swarm optimization algorithm was developed to improve the convergence speed of this optimization process. The simulation result indicates that the presented optimization algorithm can obtain the optimal solution efficiently, which provides a reference approach to find the optimal impulse correction parameters and work modes under wind disturbance. |
| Keywords: impulse-correction projectile discretization optimization design particle swarm optimization |
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