| Hyperbaric oxygen medicine is already a mature discipline, and has been widely used in clinical medicine. A large chamber in new builtmany have adopted computer control technology, to realize the automatic control process. But this control technologies are stillremain in the relatively simple PID control level, and no computergreat potential energy plays out. With the neural networktechnology and the development of fuzzy control, we can try todevelop new technology so as to control the hyperbaric oxygen chamber, is the work efficiency to achieve the best value.The control of oxygen concentration of hyperbaric oxygen chamberto do in-depth research, has completed several major work:(1) The dynamic mathematical model of oxygen system of hyperbaric oxygen chamber is established, according to the mathematical model can be summed up the relationship betweenemission and oxygen making machine parameters of oxygen;(2) Short term load of oxygen were studied, to determine the structure and algorithm of artificial neural network, select the training of network for historical data, obtained the satisfactorytraining result;(3) To control the concentration of hyperbaric oxygen chamber inhigh pressure environment of oxygen, the final detemiination of the fuzzy control algorithm can make the output results to achieve thehigh control precision;(4) The oxygen sensor used in the hyperbaric oxygen chamber offault detection, the concrete implementation is the use of theartificial neural network algorithm, after repeated training, studyingthe appropriate coefficient, can make the smallest mse. Proved by experimentation and practice, the network has a good convergence and stability;... |