Multi-Parameter Control for Precalciner Kiln System of Cement Using Adaptive Dynamic Programming

There are many factors that can affect the calciner process of cement production, such as highly nonlinearity and time-lagging, making it very difficult to establish an accurate model of the cement kiln system. In order to reduce transport energy consumption and to ensure the quality of cement clink...

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Veröffentlicht in:2009 International Workshop on Intelligent Systems and Applications S. 1 - 4
Hauptverfasser: Xiaofeng Lin, Baosheng Yang, Deguang Cao
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2009
Schlagworte:
Adaptive control
Artificial neural networks
Control systems
Dynamic programming
Energy consumption
Furnaces
Kilns
Production systems
Programmable control
Temperature control
ISBN:9781424438938, 1424438934
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Zusammenfassung:There are many factors that can affect the calciner process of cement production, such as highly nonlinearity and time-lagging, making it very difficult to establish an accurate model of the cement kiln system. In order to reduce transport energy consumption and to ensure the quality of cement clinker burning, one needs to explore different control methods from the traditional way. In this paper ADHDP of adaptive dynamic programming family is used in cement kiln system to control the temperature of furnace export and oxygen content of exhaust. Also the BP network of artificial neural network is used to accomplish the network modeling, and action and critic modules of the algorithm. The results of simulation show that, after the fluctuations in the early control period, the controlled parameters tend to be stabilized guaranteeing the quality of cement clinker calcining.
ISBN:9781424438938
1424438934
DOI:10.1109/IWISA.2009.5072967