Nonlinear joint state-parameter observer for VAV damper position estimation

机译：用于VAV阻尼器位置估计的非线性联合状态参数观测器

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摘要

Variable Air Volume (VAV) based Heating Ventilation and Air Conditioning (HVAC) systems are common in large non-residential buildings. The dynamic model of a VAV system along with the Air Handling Unit (AHU) and the zones has a nonlinear characteristic. In this paper, a nonlinear model based joint state and parameter observer is proposed to estimate the VAV damper position in such systems. First, a Takagi-Sugeno (T-S) equivalent model for the AHU-VAV-Zone model is obtained using sector nonlinearity approach. The damper position estimation problem is then posed as a time varying parameter estimation problem. A procedure based on existing literature results on T-S joint state and parameter estimation is implemented. Simulation results show the effectiveness of this approach. A bank of observers based approach is then described that can help in detecting and isolating VAV damper faults in the system using the state and parameter estimates.

机译：基于可变风量（VAV）的供暖通风和空调（HVAC）系统在大型非住宅建筑中很常见。 VAV系统以及空气处理单元（AHU）和区域的动力学模型具有非线性特征。在本文中，提出了一种基于非线性模型的联合状态和参数观测器来估计此类系统中的VAV阻尼器位置。首先，使用扇形非线性方法获得了AHU-VAV-Zone模型的Takagi-Sugeno（T-S）等效模型。然后将阻尼器位置估计问题提出为时变参数估计问题。实现了基于现有文献结果的T-S关节状态和参数估计的程序。仿真结果表明了该方法的有效性。然后描述了基于观察者的方法，该方法可以使用状态和参数估计来帮助检测和隔离系统中的VAV阻尼器故障。

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来源
《2016 3rd Conference on Control and Fault-Tolerant Systems》|2016年|164-169|共6页
会议地点 Barcelona(ES)
作者
Krishnan Srinivasarengan; José Ragot; Didier Maquin; Christophe Aubrun;
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作者单位

CRAN UMR 7039, CNRS, France;

CRAN UMR 7039, CNRS, France;

CRAN UMR 7039, CNRS, France;

CRAN UMR 7039, CNRS, France;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Shock absorbers; Atmospheric modeling; Observers; Temperature measurement; Parameter estimation; Heat transfer;

机译：减震器;大气建模;观测器;温度测量;参数估计;传热;

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3. Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data [J] . Fei Lu, Nils Weitzel, Adam H. Monahan Nonlinear processes in geophysics . 2019,第3期

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4. Nonlinear joint state-parameter observer for VAV damper position estimation [C] . Krishnan Srinivasarengan, José Ragot, Didier Maquin, Conference on Control and Fault-Tolerant Systems . 2016

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7. Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data [O] . Fei Lu, Nils Weitzel, Adam H. Monahan 2019

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Nonlinear joint state-parameter observer for VAV damper position estimation

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