首页> 外文期刊>International journal of systems,control and communications >Multi-objective bat algorithm tuned optimal FOPID controller for robust aircraft pitch control
【24h】

Multi-objective bat algorithm tuned optimal FOPID controller for robust aircraft pitch control

机译:鲁棒飞机俯仰控制的多目标蝙蝠算法优化FOPID控制器

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Algorithms based on swarm intelligence, to resolve robustness issue for the optimisation problem of the real world applications, like pitch control of an aircraft system, is nowadays common amongst researchers. Bat algorithm is one of the voiced algorithms in today's context. This paper is an explanatory attempt to discuss tuning of fractional order PID and classical PID parameters using bat algorithm for the weighted multi-objective optimisation. The optimised values obtained from the techniques have been implemented for the pitch control of an aircraft system to obtain the desired robust response. In this paper, a mixed sensitivity H8 problem has been designed and simulated using MATLAB programming. The efficacy of the results has been established compared with other tuning methods. It has been shown that the design of multi-objective bat algorithm tuned fractional order controller gives better results.
机译:如今,研究人员普遍采用基于群智能的算法来解决现实应用中的优化问题(如飞机系统的俯仰控制)的鲁棒性问题。蝙蝠算法是当今背景下的浊音算法之一。本文是尝试讨论使用bat算法对加权多目标优化进行分数阶PID和经典PID参数调节的一种解释性尝试。从该技术获得的最佳值已经实现用于飞机系统的俯仰控制以获得期望的鲁棒响应。在本文中,使用MATLAB编程设计并模拟了混合灵敏度H8问题。与其他调整方法相比,已经确定了结果的有效性。结果表明,多目标蝙蝠算法微分分数阶控制器的设计具有较好的效果。

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