基于改进遗传算法的滑翔增程弹控制参数优化设计

Control Parameter Optimization of Extended Range Munitions Based on Improved GA

为了获得滑翔弹PID控制器的俯仰角指令最佳跟踪效果,将基于实数编码的自适应遗传算法与精英保留策略相结合,同时对遗传操作做相应改进,采用改进后的算法对控制器参数进行寻优。为获取满意的过渡过程动态特性,改进了ITAE性能指标。最后以某滑翔弹的俯仰角稳定回路为研究对象,分别采用改进Powell算法、基本遗传算法和改进遗传算法进行优化计算。仿真结果表明,改进后的遗传算法搜索能力和效率得到明显提升,研究结果可为今后的控制器优化设计提供一定的参考。

To obtain the best control performance for gliding Extended Range Munitions （ERMs）,the real coding based adaptive genetic algorithm was combined with the best -keeping countermeasure,and corresponding improvement was made to the genetic operations.The improved algorithm was used for optimization of the control parameters.An improved ITAE valuation function was used to get the best dynamic response of the controller during the transition.Taking an ERM pitch angle controller as an example,the improved Powell algorithm,traditional genetic algorithm and the improved genetic algorithm were used respectively to optimize the control parameters.The numerical simulations show that the improved genetic algorithm has the best searching capability.The results are meaningful to the controller design for ERMs .