基于遗传算法的自适应油源控制系统优化设计

Optimzed Design of the Self-adapting Oil Source Control System Based on Improved Genetic Algorithm

文章采用键合图-状态空间法建立了自适应油源控制系统的数学模型,给出了基于S imu link的仿真模型及自适应油源控制系统动态特性的仿真结果。通过采用实数编码、精英选择、自适应交叉和变异概率策略的遗传算法,将系统仿真模型与遗传优化算法有机结合起来,把仿真模型作为适应度函数的输入模块,完成参数组合的优化,实现基于仿真模型的参数优化。并对优化计算进行可视化编程,实现优化过程的信息处理可视化。仿真结果表明:优化后系统的动态性能得到了较大的改善。

The paper uses the power bond graph and state space method to build a mathematical model for the control system of self - adapting oil source. The system mathematical model and the simulation results of the dynamics characteristic of the control system are presented. The system＇s simulation model is combined with the genetic optimized algorithm perfectly by using real - number coding, essence selection, self - adapting intersect and the genetic algorithm of variation probability strategy and the parameter optimization based on simulation model is realized. According to the research of visualized programming condition of optimized calculation, the visualized information managing of system＇s optimized process is achieved. The simulation results show that the dynamics characteristic of system can be improved greatly.