Research And Desigen Of Automatic Control System Of The Capsule Oxygen Based On Fuzzy PID

Capsule in coal mine can be regarded as the last line of defense for keeping themine distress personnel life safety. Oxygen control system as one of subsystems ofcoal mine mobile capsule, occupies an important position. In order to make themishap can survive for a period of time, the parameters of rescue capsule such asoxygen content, the temperature and exhaust gas concentration need to be maintainedin a reasonable range. Accurate control, which is helpful for rescue workers trappedstaff to grasp and hold capsule operation parameters control system, is advantageousto the limited resources saving, golden time to improve and extend the men’s chancesof survival.Capsule oxygen system in coal mine, the domestic related literature most stay inthe choice of the ways of oxygen and its advantages and disadvantages analysis、thedesign of the oxygen supply device, only a few aspects of the literature involvedcapsule in precise control of oxygen. For there is no literature on the coal mine rescuecapsule oxygen control system of mathematical modeling, the mathematical model ofcoal mine rescue capsule oxygen control system was created according to theselection of oxygen control systems. The control algorithm of the control system areanalyzed in theory and as for the controlled object mathematical model, thesimulation comparison between self-tuning fuzzy PID and conventional PID in theMATLAB was processed. The simulation results show that compared withconventional PID controller, fuzzy PID controller improve the system dynamicperformance and static performance, improve the adaptive ability of system. As aresult self-tuning fuzzy PID capsule is more suitable for application in coal minedesign.System used FPGA as the core controller, the software and hardware of eachmodule was designed according to the modular train of thought respectively. UsedVerilog HDL to calculate the various key parts of control system such as dataacquisition system input, remaining time estimates, drive output module, andintegrated them to realize the whole system, so as to achieve the aim of the intelligent,precise control of oxygen.