基于遗传算法的舰炮随动系统PID参数整定

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。

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

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.