Supervisory Control for Rotary Kiln Temperature Based on Reinforcement Learning
The burning zone temperature in rotary kiln process is a vitally important controlled variable, on which the sinter quality mainly relies. Boundary conditions such as components of raw material slurry often change during kiln operation, but related offline analysis data delay to reach or even are unknown to the human operator. This causes unsatisfactory performance of the burning zone temperature controller and subsequent unstable production quality. To deal with this problem, a Q-learning-based supervisory control approach for burning zone temperature is proposed, in which the signals of human intervention are regarded as the reinforcement learning signals, so that the set point of burning zone temperature can be duly adjusted to adapt the fluctuations of the boundary conditions. This supervisory control system has been developed in DCS and successfully applied in an alumina rotary kiln. Satisfactory results have shown that the adaptability and performances of the control system have been improved effectively, and remarkable benefit has been obtained.
KeywordsReinforcement Learn Model Predictive Control Supervisory Control Rotary Kiln Supervisory Control System
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- 3.Jarvensivua, M., Esko Juusob, Olli Ahavac: Intelligent Control of a Rotary Kiln Fired with Producer Gas Generated from Biomass, Engineering Applications of Artificial Intelligence, 14(5) (2001)Google Scholar
- 6.Sutton, R. S.: Generalization in Reinforcement Learning: Successful Examples using Sparse Coarse Coding, In: D. Touretzky, M. Mozer, M. Hasselmo, (eds.) Advances in Neural Information Processing Systems, NY: MIT Press (1996) 1038–1044Google Scholar
- 7.Sutton, R. S., Barto, A. G.: Reinforcement Learning: An Introduction, Cambridge, MA: MIT Press (1998)Google Scholar
- 10.Zhou, X. J., Xu, D. B., Zhang, L., Chai, T. Y.: Integrated Automation System of a Rotary Kiln Process for Alumina Production, Journal of Jilin University (Engineering and Technology Edition), sup: 350–353 (in Chinese) (2004)Google Scholar