火力与指挥控制2016，Vol.41Issue(4)：117-120,4.
基于改进粒子群算法的自动机性能评估
Performance Assessment of Auto-mechanism Based on Improved PSO
摘要
Abstract
For the lack of effective method in the condition monitoring of the auto-mechanism of self-propelled anti-aircraft gun system,an approach of improved Particle Swarm Optimization(PSO)is introduced. Established the dynamic model of the auto-mechanism to simulate the recoil process and determined the characteristic quantity of the gun chest back curve to reflect the mechanical performance state,an approach of improved Particle Swarm Optimization(PSO)with better convergence and precision is proposed to evaluate the state parameters based on the curve characteristic quantity. The result shows the obvious advantage of the convergence and accuracy,and it achieves the state parameters assessment of auto-mechanism.关键词
改进粒子群算法/性能评估/动力学分析Key words
improved PSO/performance assessment/dynamics analysis分类
军事科技引用本文复制引用
孙致远,郑坚,熊超,殷军辉..基于改进粒子群算法的自动机性能评估[J].火力与指挥控制,2016,41(4):117-120,4.
