基于模糊PID的救生艙氧氣自動控制系統(tǒng)的研究與設(shè)計
[Abstract]:Mine rescue cabin is the last effective barrier to ensure the safety of coal mine personnel in distress. Oxygen control system is one of the branches of underground moving lifebuoy control system in coal mine, which plays an important role. In order to make the personnel in distress have a transitional time in the cabin, it is necessary to maintain the parameters of oxygen concentration, temperature, humidity and exhaust gas concentration in a safe range. The accurate oxygen supply can improve the reliability of the lifebuoy system, be helpful to the rescue workers and the trapped persons in the cabin to master the operation parameters of the control system of the lifebuoy, and is beneficial to the saving of limited resources. Thus prolonging the prime time of rescue to improve the survival probability of trapped people. In the aspect of the oxygen system of mine lifebuoy, most of the domestic literatures remain on the choice of oxygen supply mode and the analysis of its advantages and disadvantages. The design of oxygen supply device is very few for the precise control of oxygen in the lifebuoy. The mathematical model of oxygen control system of mine lifebuoy is established according to the control structure of oxygen control system. The control algorithm of oxygen system and its advantages and disadvantages are analyzed theoretically and the mathematical model of the system is taken as the control object. The fuzzy self-tuning pid is compared with the conventional pid by MATLAB. The results show that the fuzzy pid controller can not only improve the dynamic and static performance of the system, but also improve the adaptive ability of the system. Therefore, fuzzy self-tuning pid is more suitable for the design of automatic oxygen control system of mine lifebuoy. The system takes FPGA as the core of the controller and designs the software and hardware of each module according to the idea of modular design. With Verilog HDL, the key parts of the control system, such as fuzzy pid algorithm, system data acquisition and input, time-limit dynamic prediction, driving output module, are implemented and verified by simulation. Finally, the oxygen system is automatically adjusted and the time limit is estimated. Artificial auxiliary adjustment and other basic functions are realized to achieve the purpose of intelligent and accurate control of oxygen.
【學(xué)位授予單位】:中國礦業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TD774
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