Design of atmospheric hypoxic chamber based on fuzzy adaptive control

Contrary to the problem of plateau acute reaction caused by the low oxygen partial pressure, we designed a simulated altitude environment atmospheric hypoxia chamber. The control system is based on fuzzy adaptive algorithm combined with expert algorithm and PD algorithm, which can justify parameter itself to fit the environment of time-delay and instability. During 10 days of hypoxic training, the simulating altitude inside the chamber is controlled within expected limits, which is able to recover after an interfere is occurred. This system solves the problem of controlling difficulty due to the complex environment of the chamber, and provides strong robustness as well as high accuracy, which provides a scientific platform for the related research of hypoxia.