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作 者:卢发兴[1] 姚鸿鹤 史浩然 LU Faxing;YAO Honghe;SHI Haoran(Ordnance Enginnering College, Naval University of Engineering, Wuhan 430033, China;Unit 92218 of the PLA, Guangzhou 510700, China)
机构地区:[1]海军工程大学兵器工程学院,湖北武汉430033 [2]中国人民解放军92218部队,广东广州510700
出 处:《系统工程与电子技术》2020年第5期1131-1138,共8页Systems Engineering and Electronics
摘 要:针对引入惯导设备的指令制导系统中的误差分配问题,构建了指令制导回路误差优化分配的数学模型,利用方差分析法进行了变量约减,改善了传统优化设计中优化参数过多的问题。采用基于带精英策略的非支配排序遗传算法的Pareto多目标遗传算法,并利用动态罚函数法处理多约束情况,改善了优化求解过程仿真时间过长和局部收敛的问题。以某指令制导系统和惯导设备的误差参数为例,用此方法对制导精度和总费用两项指标进行优化。结果表明,优化方案的各项性能指标均满足设计要求,与优化前方案相比,优化目标有很大程度的改观,制导精度提高近30%,总费用降低近40%。该优化方法有效且通用性强,可为其它制导方式的误差优化分配问题提供设计依据。Aiming at the error distribution problem in the instruction guidance system of the inertial navigation device,the mathematical model of the error distribution of the instruction guidance loop error is constructed.The analysis of variance is carried out to reduce the decision variables and the optimization parameters is improved.And then the Pareto multi-objective genetic algorithm based on the non-dominated sorting genetic algorithm-II(NSGA-II)is adopted,the dynamic penalty function is used to handle multi-restriction,thereby,the simulation time is reduced and the local convergence in the traditional optimization design is improved.Taking the error parameters of a command guidance system and inertial navigation equipment as an example,this method is used to optimize the guidance precision and the total cost.The results show that the performance indicators of the optimization scheme meet the design requirements.Compared with the pre-optimization scheme,the optimization objectives have been greatly improved,the guidance precision is improved by nearly 30%,and the total cost is reduced by nearly 40%.The optimization method is effective and general-purpose,and can provide the design basis for error-optimized allocation problems of other guidance methods.
关 键 词:指令制导 误差优化分配 遗传算法 方差分析 罚函数
分 类 号:TJ413.6[兵器科学与技术—火炮、自动武器与弹药工程]
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