Research And Realization Of Automatic Control System For Single Medical Hyperbaric Oxygen Chamber

Medical hyperbaric oxygen chamber is a kind of special medical equipment,which can provide hyperbaric oxygen environment for patients.Hyperbaric oxygen therapy as an effective treatment has been widely used in clinical medical system,because it has many advantages,such as low treatment cost,small side effect and good treatment effect.At present,many domestic hyperbaric oxygen chambers are manual control or simple automatic control which have low control precision and system security,leading to the poor treatment effect and even causing damage to the patient's body.Therefore,it is of great significance to design an oxygen control system that has high precision and good stability.The research object of this thesis is a single adult medical hyperbaric oxygen chamber.We study pressure control algorithm and hardware realization and design the overall scheme of medical hyperbaric oxygen control system by using modern intelligent control technology and embedded technology.It is difficult to establish a precise mathematical model because medical hyperbaric oxygen chamber pressure control are large delay,large inertia and nonlinear.In order to solve these problems,BP neural network PID control algorithm is used to realize pressure control.Because high requirement of real-time pressure control and drawbacks of BP neural network,such as slow convergence speed and easily fall into local minimum,a BP neural network based on variable learning rate of arctangent function is proposed.In order to improve the anti-interference ability of pressure control and considering the complexity of working environment chamber,an improved strategy with the cooperation of improved BP neural network PID algorithm and Kalman filter algorithm is presented.Finally,the simulation of pressure control algorithm is carried out by MATLAB and compared with conventional PID control and general BP neural network PID control.The experimental results show that the new control method has good performance and lay the foundation for further research.The upper and lower computer joint control structure is adopted in the system structure design.The lower computer system processor uses STM32f103 c as the master chip and runs RTX real-time multi-tasking operating system.In order to improve the reliability of the system,we set the dual machine system redundancy.The controller of the upper computer system uses TI AM3352 as the main controller,equipped with embedded Linux system,and uses cross-platform QT programming framework to develop the upper computer system monitoring interface software.Finally the hardware design of the system and the drawing of the circuit board are completed.Based on the analysis of the function module of the system,the program flow chart and the software are designed,The cabin experimental platform is designed to test the actual treatment process.The experimental results show that the system meets the actual demand in pressure control.