Study On Application Of Agent Control On Pressurize System For Mixed Coal Gas

In the process of steel production, it's important to avoid serious air pollution and take full advantage of coal gas which comes from blast furnace , coke oven , or converter. Generally, we collect the gas mentioned above and store it in the storage bank or storage tower, then the gas can be transmitted to the relay pressurizing station by piping. At last, the by product can be used as fuel. The control system of the relay pressurizing station should be fit for the following: (1) The import press and the export press are mutative because the demand of the upriver users and the downriver users is not fixed. (2) The medium is gas, the transition process is very long. (3) The character of the piping is not stable. (4) There are hysteresis and nonlinear parts in the system. The key task of the control system is actualizing the control arithmetic devised to keep the export press stable. Fuzzy controller is provided with several advantages: (1) The mathematics model of the object is not required. (2) The controller have well robustness and nonlinear control speciality . For the above reasons, Fuzzy controller is one of the valid tools to control the nonlinear system which parameters is variational. With the development for over 30 years, the basic fuzzy controller has been gradually integrated with PID controller, neural network, inherit arithmetic and another intelligent control arithmetic, some shortcomings(low precision, limited ability of self-adaptation, high-surge) of the basic fuzzy controller are improved or solved. With the development of modern technology, more and more high quality control devices can be choosed , so we can design high roboticized and intelligent control system to solve more complicated control problems. Based the above background, after analyzing the speciality of the controlled system fully, this paper constructed a Multi-layer Intelligent Fuzzy Controller and realized it in the control system of the relay pressurizing station for the mixed coal gas. The main works of this dissertation are shown as follows: (1) We analyzed the study actuality and the meaning of the control system for pressurizing the mixed coal gas. (2) We summarized the relevant contents of the control system. (3) We summarized the relevant basic theory of the fuzzy control and its development. (4) We discussed the relevant control structure, designed the software and hardware for the control system, and devised a Multi-layer Intelligent Fuzzy Controller. (5) We validated the Multi-layer Intelligent Fuzzy arithmetic by simulation. (6) We discussed some aspects of the control system which should be improved and bring forward our next study goals.