首页> 外文会议>2012 20th Mediterranean Conference on Control amp; Automation >Comparisons of nonlinear estimators for wastewater treatment plants
【24h】

Comparisons of nonlinear estimators for wastewater treatment plants

机译:污水处理厂非线性估算器的比较

获取原文
获取原文并翻译 | 示例

摘要

This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF) that are formulated and implemented to estimate unmeasured states of a typical biological wastewater system. The performance of these five estimators of different complexities, behaviour and advantages are demonstrated and compared via nonlinear simulations. This study shows promising application of UKF for monitoring and control of the process variables, which are not directly measurable.
机译:本文研究了五个现有的非线性估计器(滤波器),包括扩展卡尔曼滤波器(EKF),扩展H无穷大滤波器(EHF),状态相关滤波器(SDF),状态相关H无穷滤波器(SDHF)和无味卡尔曼滤波器(UKF)的制定和实施,以估算典型的生物废水系统的未测状态。通过非线性仿真演示并比较了这五种不同复杂度,行为和优势的估计量的性能。这项研究表明UKF在监测和控制过程变量方面的应用前景广阔,这些过程变量无法直接测量。

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