scholarly journals Model identification and attitude control for a micromechanical flying insect including thorax and sensor models

2004 ◽  
Author(s):  
Xinyan Deng ◽  
L. Schenato ◽  
S.S. Sastry
Keyword(s):  
Attitude Control ◽  
Model Identification ◽  
Micromechanical Flying Insect ◽  
Sensor Models

A GRAY-BOX NEURAL NETWORK-BASED MODEL IDENTIFICATION AND FAULT ESTIMATION SCHEME FOR NONLINEAR DYNAMIC SYSTEMS

2013 ◽  
Vol 23 (06) ◽  
pp. 1350025 ◽  
Author(s):  
ZHAOHUI CEN ◽  
JIAOLONG WEI ◽  
RUI JIANG
Keyword(s):  
Neural Network ◽  
Dynamic Systems ◽  
Attitude Control ◽  
Nonlinear Dynamic ◽  
Model Identification ◽  
Nonlinear Dynamic Systems ◽  
Fault Estimation ◽  
Attitude Control System ◽  
Object System ◽  
Fault Parameters

A novel gray-box neural network model (GBNNM), including multi-layer perception (MLP) neural network (NN) and integrators, is proposed for a model identification and fault estimation (MIFE) scheme. With the GBNNM, both the nonlinearity and dynamics of a class of nonlinear dynamic systems can be approximated. Unlike previous NN-based model identification methods, the GBNNM directly inherits system dynamics and separately models system nonlinearities. This model corresponds well with the object system and is easy to build. The GBNNM is embedded online as a normal model reference to obtain the quantitative residual between the object system output and the GBNNM output. This residual can accurately indicate the fault offset value, so it is suitable for differing fault severities. To further estimate the fault parameters (FPs), an improved extended state observer (ESO) using the same NNs (IESONN) from the GBNNM is proposed to avoid requiring the knowledge of ESO nonlinearity. Then, the proposed MIFE scheme is applied for reaction wheels (RW) in a satellite attitude control system (SACS). The scheme using the GBNNM is compared with other NNs in the same fault scenario, and several partial loss of effect (LOE) faults with different severities are considered to validate the effectiveness of the FP estimation and its superiority.

Attitude-control model identification of on-orbit satellites actuated by reaction wheels

2010 ◽  
Vol 66 (5-6) ◽  
pp. 714-721 ◽  
Author(s):  
Li-Hui Geng ◽  
De-Yun Xiao ◽  
Qian Wang ◽  
Tao Zhang ◽  
Jing-Yan Song
Keyword(s):  
Attitude Control ◽  
Model Identification ◽  
Control Model

Multi-Scenarios Attitude Control of a Satellite with Flexible Solar Panels

2018 ◽  
Vol 11 (6) ◽  
pp. 326
Author(s):  
Nassima Khorchef ◽  
Abdellah Mokhtari ◽  
Abdelmadjid Boudjemai
Keyword(s):  
Attitude Control ◽  
Solar Panels
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