基于遗传算法的舰炮随动系统PID参数整定  

PID Parameter Setting of Naval Gun Servo System Based on Genetic Algorithm

作　　者：王茂林 张志华 武翰文 

机构地区：[1]辽宁葫芦岛市92941部队 [2]海军驻连云港地区军事代表室

出　　处：《四川兵工学报》2013年第7期30-32,共3页Journal of Sichuan Ordnance

摘　　要：传统舰炮随动控制系统设计通常采用试凑法获取PID控制器参数。这类方法耗时长,需要调试人员具有较高实际工作经验,且依赖于经验公式或统计数据,很难获取很好的控制性能。针对该问题,根据遗传算法的原理,以广义Hermite-Biehler定理确定寻优范围;以误差泛函积分评价指标设计了目标函数。通过Matlab仿真结果表明:与传统方法比较,该整定方法简单、实用,并可获得更好的控制特性。In traditional naval gun servo control system design, heuristic algorithm is usually adopted to get PID controller parameters. This kind of method consumes long time, and needs higher practical work expe- rience, and depends on the experience formula or statistical data. So it is difficult to get good control per- formanee. According to the principle of genetic algorithm, this paper determines optimization range with generalized Hermite - Biehler theorem, and designs the target function by error functional integration evalu- ation index. MATLAB simulation results show that the setting method is simple and practical and can get a better control characteristic than the traditional methods.

关 键 词：舰炮随动控制系统 PID控制器 遗传算法 误差泛函积分 

分 类 号：TJ391[兵器科学与技术—火炮、自动武器与弹药工程]