基于ISMO算法的空间站二氧化碳吸附塔故障检测

As a key component of the space station environmental control and life support system, carbon dioxide adsorption tower undertakes the important task of controlling the concentration of carbon dioxide in the atmosphere of the closed cabin, which is directly related to the life safety of astronauts in orbit. Therefore, it is necessary to monitor the real-time operation status of the equipment, detect the fault in time, and dispose of the fault in advance to ensure the safe operation of the system. The model-based fault detection scheme was adopted. Firstly, the infinite dimensional sliding mode observer algorithm was designed. By using the projection reduction approximation of partial differential equation, the sliding mode observer was used to estimate the carbon dioxide concentration in the outlet gas flow of the adsorption tower. Then, the residual adsorption efficiency was calculated by using the estimated values under different fault conditions, and the functional relationship between the peak value of residual adsorption efficiency and the failure rate of adsorption tower was fitted by using the least square method. The simulation results show that the method can accurately estimate the carbon dioxide concentration in the gas flow at the outlet of the carbon dioxide adsorption tower, and effectively calculate the failure rate of the adsorption tower, so as to realize the on-line fault detection of the attached tower.