首页> 外文期刊>Mathematics and computers in simulation >Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System
【24h】

Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System

机译:具有鲁棒性,稳定性和动态标准的原始AVR系统控制器调整方法

获取原文
获取原文并翻译 | 示例
           

摘要

The automatic voltage regulator (AVR) system has received much interest in the last decade. Efforts are made to find a parameter set for proportional-integral-derivative based (PID) controllers to obtain a fast onset time with minimal overshoot. To assure system stability and robustness, these characteristics must be considered during the optimization process. Cost functions have been already proposed in the literature. However, either they have a high number of weighting parameters to set to achieve a satisfactory trade-off between dynamic performance, robustness and stability or they consider only robustness and stability. This paper proposes a new optimization framework using a simple performance criterion to achieve rapid time response characteristics as well as to meet robustness and stability requirements. The performance of the approach is confirmed by comparing its results to those obtained with two previously published performance criteria and the results obtained with the systune command in Matlab (R) and the MathWorks (R) PID tuning algorithm. The results obtained with the proposed approach present a better trade-off between dynamic performance, robustness and stability. (C) 2019 InternationalAssociation for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
机译:在过去的十年中,自动电压调节器(AVR)系统引起了人们的极大兴趣。努力为基于比例-积分-微分的(PID)控制器找到参数集,以获得快速的启动时间和最小的过冲。为了确保系统的稳定性和鲁棒性,在优化过程中必须考虑这些特性。成本函数已经在文献中提出。但是,要么设置大量的加权参数以实现动态性能,鲁棒性和稳定性之间的令人满意的折衷,要么仅考虑鲁棒性和稳定性。本文提出了一种使用简单性能准则的新优化框架,以实现快速的时间响应特性并满足鲁棒性和稳定性要求。通过将其结果与使用两个先前发布的性能标准获得的结果以及通过Matlab(R)和MathWorks(R)PID调整算法中的systune命令获得的结果进行比较,可以确认该方法的性能。通过提出的方法获得的结果在动态性能,鲁棒性和稳定性之间取得了更好的权衡。 (C)2019年国际模拟数学与计算机协会(IMACS)。由Elsevier B.V.发布。保留所有权利。

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