Simulation Degradation Datasets for Health Prognosis of Control Moment Gyroscope
Description
This presents the dataset used for health prognosis of Control Moment Gyroscope (CMG). The dataset is collected from Simulink model of a flywheel system with electrical and mechanical degradation by Beihang Automatic Test Equipment (ATE) lab. There are 3 CMGs in the dataset, 25 cycles for OC1 and 5 cycles for OC2 and OC3. The CMG in OC2 and OC3 works with different speed with CMG of OC1. The data is formed as .mat. Here's one cycle for each CMG. The complete datasets can be download at https://rfly-openha.github.io/documents/4_resources/datasets/CMGDataset.html, as the storage limited to 10GB. Here's are the variables in each mat file: B: Viscous damping coefficient, increasing over time i:Current of the rotor Kt:moment coefficient, decreasing over time T:Torque of the flywheel system, fix to 3.2 TL:Load Torque of the flywheel system, fix to 0.1 u:Voltage of the rotor w:Rotation rate of the rotor
Files
Steps to reproduce
1. Model the flywheel system of CMG with model of inverter, Brushless DC motor, controller, Hall decoder, PWM generator in Simulink. 2. Comparing with a dataset of a real CMG, adjust the parameter of the model until the dynamic feature and data is similiar enough. 3. Use Brownian Motion to degrade the moment coefficient and viscous damping coefficient 4. When viscous damping coefficient becomes lower than 0.003 (we suppose the CMG fails at this time), stop the simulation and save the data
Institutions
- Beihang University