Intelligent Control of Grate-kiln-cooler Process of Iron Ore Pellets Using a Combination of Expert S

来源 :Journal of Iron and Steel Research(International) | 被引量 : 0次 | 上传用户:hzy11
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Grate-kiln-cooler has become a major process of producing iron ore pellets in China. Due to the diversity of the raw materials used and the multi-device multi-variable characteristics,this process still encounters with control problem. An attempt was proposed to deal with this issue. The three-device-integrated feature of the process was firstly analyzed to obtain control strategy,and then an intelligent control system using a combination of expert system approach and Takagi-Sugeno( T-S) fuzzy model was developed. Expert system approach was used to diagnose and remedy the abnormal conditions,while T-S fuzzy model was used to stabilize the thermal state. In the construction of T-S fuzzy rules,antecedents were identified by fuzzy c-mean clustering algorithm incorporated with subtractive clustering algorithm,and consequent parameters were identified by recursive least square algorithm. The control system was applied in a Chinese pelletizing plant and the application results demonstrated its effectiveness of stabilizing the thermal states within three devices. Due to the diversity of the raw materials used and the multi-device multi-variable characteristics, this process still encounters with control problem. An attempt was to to deal with this issue. The three-device-integrated feature of the process was first been analyzed to obtain control strategy, and then an intelligent control system using a combination of expert system approach and Takagi-Sugeno (TS) fuzzy model was developed. Expert system approach was used to diagnose and remedy the abnormal conditions, while TS fuzzy model was used to stabilize the thermal state. In the construction of TS fuzzy rules, antecedents were identified by fuzzy c-mean clustering algorithm incorporated with subtractive clustering algorithm, and consequent parameters were identified by recursive least square algorithm. The control system was applied in a Chinese pelletizing plant and the application results demonstrated i ts effectiveness of stabilizing the thermal states within three devices.
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