Abstract
This paper proposes a practical life prediction model for Flywheel Systems (FSs) using the Stochastic Hybrid Automaton (SHA) method. The reliability of motors and the performance degradation of bearings are considered key causes of the failure of FSs. The unit flywheel SHA model is established for the failure mechanism, considering burst failure of motors and the accumulated performance degradation of bearings. This prediction model also describes the dynamic relation of lifetime with the configurations of FSs, work modes, and running environments. Monte Carlo simulation results demonstrate that the life distributions of FSs are quite different if the spacecrafts run in various orbits or with different configurations, or under changed work modes. The proposed method provides an engineering reference and guidance for the scheme design and in-orbit mission planning of FSs.
Highlights
To satisfy the requirement of high accuracy and a long useful life, flywheel subsystems (FSs) are commonly selected as typical and significant actuators to control the attitude of spacecrafts [1].Some modern flywheels using active magnetic bearings have online health management systems [2], while traditional machinery flywheels still serve as vital actuators in the development and arrangement of spacecrafts for use in the two forthcoming decades
The flywheel runs at different speeds due to the various work modes of the attitude control systems (ACSs) system, which results in different life spans for each flywheel, and affects the life of the FS
This demonstrates that the work mode has a small effect on the probability of motor failures; instead, it mainly affects the consumption of bearing lubricants
Summary
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