Efficient multivariate sensitivity analysis for dynamic models based on cubature formula

2020 ◽  
Vol 206 ◽  
pp. 110164 ◽  
Author(s):  
Yushan Liu ◽  
Luyi Li ◽  
Changcong Zhou ◽  
Haodong Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
Cubature Formula

scholarly journals Advanced Performance Metrics and Sensitivity Analysis for Model Validation and Calibration

2020 ◽  
Author(s):  
Urmila Agrawal ◽  
Pavel Etingov ◽  
Renke Huang
Keyword(s):  
Sensitivity Analysis ◽  
Power Systems ◽  
Model Validation ◽  
Real World ◽  
Model Calibration ◽  
Dynamic Models ◽  
Performance Metrics ◽  
Step Response ◽  
Response Characteristics ◽  
Oscillatory Response

<pre>High quality generator dynamic models are critical to reliable and accurate power systems studies and planning. With the availability of PMU measurements, measurement-based approach for model validation has gained significant prominence. Currently, the model validation results are analyzed by visually comparing real--world PMU measurements with the model-based response measurements, and parameter adjustments rely mostly on engineering experience. This paper proposes advanced performance metrics to systematically quantify the generator dynamic model validation results by separately taking into consideration slow governor response and comparatively fast oscillatory response. The performance metric for governor response is based on the step response characteristics of a system and the metric for oscillatory response is based on the response of generator to each system mode calculated using modal analysis. The proposed metrics in this paper is aimed at providing critical information to help with the selection of parameters to be tuned for model calibration by performing enhanced sensitivity analysis, and also help with rule-based model calibration. Results obtained using both simulated and real-world measurements validate the effectiveness of the proposed performance metrics and sensitivity analysis for model validation and calibration.</pre>

scholarly journals Limits of variance-based sensitivity analysis for non-identifiability testing in high dimensional dynamic models

Automatica ◽  
2012 ◽  
Vol 48 (11) ◽  
pp. 2740-2749 ◽  
Author(s):  
Simona Dobre ◽  
Thierry Bastogne ◽  
Christophe Profeta ◽  
Muriel Barberi-Heyob ◽  
Alain Richard
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
High Dimensional

On the Dynamic Modeling of a Bevel-Geared Surgical Robotic Mechanism

2010 ◽  
Vol 4 (4) ◽  
Author(s):  
Xiaoli Zhang ◽  
Carl A. Nelson
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Modeling ◽  
Dynamic Models ◽  
Driving Forces ◽  
Dynamic Control ◽  
Design Stage ◽  
Inverse Dynamic ◽  
Surgical Tool ◽  
Tissue Manipulation ◽  
Clinical Experiments

The use of robotics to enhance visualization and tissue manipulation capabilities contributes to the advancement of minimally invasive surgery. For the development of surgical robot manipulators, the use of advanced dynamic control is an important aspect at the design stage to determine the driving forces and/or torques, which must be exerted by the actuators in order to produce a desirable trajectory of the end effector. Therefore, this study focuses on the generation of inverse dynamic models for a spherical bevel-geared mechanism called Compact Bevel-geared Robot for Advanced Surgery (CoBRASurge), which is used as a surgical tool manipulator. For given typical trajectories of end effectors in clinical experiments, the motion of each element in the mechanism can be derived using the inverse kinematic equations. The driving torques exerted by actuators can be determined according to the presented inverse dynamic formulations. The simulation results of CoBRASurge reveal the nature of the driving torques in spherical bevel-geared mechanisms. In addition, sensitivity analysis of mass contribution has been performed to evaluate the effect of individual elements on the peak driving torques. Dynamic models, such as the one presented, can be used for the design of advanced dynamic control systems, including gravity compensation and haptic interfaces for enhanced surgical functionality. The accompanying sensitivity analysis also provides a solid guideline for the design of the next generation CoBRASurge prototype. The present dynamic modeling methodology also gives a general dynamic analysis approach for other spherical articulated linkage mechanisms.

Étude comparative de trois modèles dynamiques de boues activées

1989 ◽  
Vol 16 (3) ◽  
pp. 400-407 ◽  
Author(s):  
D. Couillard ◽  
F. D'amours ◽  
G. Patry
Keyword(s):  
Mathematical Model ◽  
Sensitivity Analysis ◽  
Water Treatment ◽  
Activated Sludge ◽  
Organic Nitrogen ◽  
Dynamic Models ◽  
Dynamic Modelling ◽  
Activated Sludge Process ◽  
Transient Behaviour ◽  
Soluble Material

Three complete dynamic models are proposed to simulate the transient behaviour of the activated sludge process. The authors compare the responses obtained by simulation with datas found in the literature for the Norwich wastewater plant (England). A structured biological model with bi-substrate component (particles and soluble material) together with a nitrification model taking into account the organic nitrogen content of the affluent present the most realistic profils for the conditions studied. A sensitivity analysis reveals that a generalization of the model is possible if some parameters identified as critical are adjusted. Key words: mathematical model, activated sludge, water treatment, dynamic modelling, comparison of models.

scholarly journals Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Shuguang Zhang ◽  
Wenku Shi ◽  
Zhiyong Chen
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
Mr Damper ◽  
Hysteretic Behavior ◽  
Hysteretic Model ◽  
Main Research ◽  
Seat Suspension ◽  
The Neural Network ◽  
Wide Range ◽  
Nonlinear Dynamic Models

Smart structures such as damping adjustable dampers made of magnetorheological (MR) fluid can be used to attenuate vibration transmission in vehicle seat suspension. The main research content of this paper is the nonlinearity and hysteresis characteristics of the MR damper. A hysteretic model considering both excitation characteristics and input current is proposed to fit the damper force-velocity curve for the MR damper under different conditions. Multifactor sensitivity analysis based on the neural network method is used to obtain importance parameters of the hyperbolic tangent model. In order to demonstrate the fitting precision of the different models, the shuffled frog-leaping algorithm (SFLA) is employed to identify the parameters of MR damper models. The research results indicate that the modified model can not only describe the nonlinear hysteretic behavior of the MR damper more accurately in fixed conditions, compared with the original model, but also meet the fitting precision under a wide range of magnitudes of control current and excitation conditions (frequency and amplitude). The method of parameter sensitivity analysis and identification can also be used to modify other nonlinear dynamic models.

Sensitivity Analysis of Dynamic Models to Uncertainties in Inputs Data With Time-Varying Variances

Technometrics ◽  
2006 ◽  
Vol 48 (1) ◽  
pp. 74-87 ◽  
Author(s):  
Nacim Ramdani ◽  
Yves Candau ◽  
Gilles Guyon ◽  
Christophe Dalibart
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
Time Varying
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