Non-intrusive gas flow measurement using thermal signatures with online dynamic parameter estimation

2017 ◽  
Author(s):  
Trevor J. Terrill ◽  
Bryan P. Rasmussen
Keyword(s):  
Parameter Estimation ◽  
Flow Measurement ◽  
Gas Flow ◽  
Dynamic Parameter ◽  
Dynamic Parameter Estimation

A Hardware Implementation of an Online Frequency Dynamic Parameter Estimation

2021 ◽  
Author(s):  
J. Quiroz ◽  
R. Perez ◽  
H. Chavez ◽  
Julia Matevosyan ◽  
Felix Rafael Segundo Sevilla
Keyword(s):  
Parameter Estimation ◽  
Hardware Implementation ◽  
Dynamic Parameter ◽  
Dynamic Parameter Estimation

Dynamic Parameter Estimation of a Nonlinear Vessel Steering Model for Ocean Navigation

2011 ◽  
Author(s):  
Lokukaluge P. Perera ◽  
Paulo Oliveira ◽  
C. Guedes Soares
Keyword(s):  
Parameter Estimation ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Dynamic Parameter ◽  
Second Order ◽  
Stochastic Parameters ◽  
Dynamic Parameter Estimation ◽  
Nomoto Model ◽  
Numerical Simulator

In this paper the stochastic parameters describing the nonlinear ocean vessel steering model are identified, resorting to an Extended Kalman Filter. The proposed method is applied to a second order modified Nomoto model for the vessel navigation that is derived from first physics principles. The results obtained resorting to a realistic numerical simulator for the nonlinear vessel steering model considered are illustrated in this study.

Experimental Analysis and Parameter Estimation for Mechanisms

1998 ◽  
Author(s):  
Deming Wang ◽  
David Beale
Keyword(s):  
Parameter Estimation ◽  
Singular Values ◽  
Dynamic Parameter ◽  
Force Transducer ◽  
Dynamic Parameters ◽  
Dynamic Motion ◽  
Constraint Equations ◽  
Nonlinear Motion ◽  
Dynamic Parameter Estimation ◽  
Four Bar Linkage

Abstract The paper presents an experimental method to estimate dynamic parameters of general mechanisms. The signals of dynamic motion and external force of mechanisms were obtained by a piezo-electric accelerometer and a hammer force transducer. A set of linear dynamic parameter equations are derived from nonlinear motion equations and constraint equations of mechanisms to estimate the dynamic parameters of the system. The accuracy of the parameter estimation depends on the number of non-zero singular values and the condition number of the parameter equations. A typical four-bar linkage was taken as an example for accuracy analysis of the dynamic parameter estimation.

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