基于微粒群算法的复合控制逻辑参数优化方法

A compound control logic parameter optimization method based on particle warm algorithm

针对复合控制中采用PSR调制器控制发动机开关机的控制逻辑参数选择问题,基于微粒群算法提出了一种控制逻辑参数优化方法。该方法以提高复合控制性能为目标,将复合控制的控制逻辑参数选择问题转化为对以复合控制性能为指标的多目标优化问题。在此基础上,将微粒群算法应用于该优化问题的求解,提出了一种基于微粒群算法的PSR调制型复合控制逻辑参数优化方法,并设计了算法流程图。仿真结果表明,采用该设计方法对参数优化后,复合控制总体性能有明显提升。

A parameter optimization method for control logic based on particle warm algorithm was pro- posed to deal with the problem of parameter selection in compound control system with jet controlled by PSR modulator. Aiming to promote the performance of the compound control, the problem of control logic parameter selection of the compound control was firstly transformed to a multiple objective optimization problem with the compound control performance as the index. And then, the particle warm algorithm was applied to the problem, with a particle warm optimization based control logic optimization method and the according flow form developed. Simulation result shows that the parameters optimized based on the pro- posed method could effectively promote the performance.