首页> 外文期刊>BioTechnology: An Indian Journal >Genetic algorithms based on local variable weight synthesizing and its application to internal model control
【24h】

Genetic algorithms based on local variable weight synthesizing and its application to internal model control

机译:基于局部变权综合的遗传算法及其在内部模型控制中的应用

获取原文
           

摘要

In this paper, a newobjective function of genetic algorithms based on local variable weight synthesizing is proposed to improve the imperfect selection of performance indicator and unclear weight distribution in objective function of controller parameters optimization. Using both error integral indicators and eigenvalues of the systemcalculated by local variableweight synthesizing as a parameters optimization objective function to achieve the purpose that eigenvalues of the system are all in a reasonable range and error integral values are smaller as well. Compared with traditional objective function, the modified objective function is more comprehensive, flexible and open.At last, applying it to the parameters optimization of internal model control and the simulation results have shown its effectiveness and superiority.
机译:提出了一种基于局部变权综合的遗传算法新目标函数,以改善控制器参数优化目标函数中性能指标选择不完善和权重分布不明确的问题。将误差积分指标和局部变量权重综合计算出的系统特征值作为参数优化目标函数,以达到系统特征值均在合理范围内,误差积分值也较小的目的。与传统目标函数相比,改进后的目标函数更加全面,灵活,开放。最后,将其应用于内模控制的参数优化,仿真结果表明了其有效性和优越性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号