College of Information Science and Technology, Beijing University of Chemical Technology

Coal gasification is a crucial unit of coal chemical production process. Coal and oxygen are used as the main reactionraw materials in the coal gasification process and the crude syngas is generated by chemical reaction under hightemperature and high pressure. Compared with the petrochemical industry, it is more difficult to implement advanced processcontrol (APC) in the coal gasification industrial process because of the time varying disturbance of coal quality. Thetime varying disturbance may lead to the mismatch of the APC model that could cause some large fluctuations of key processindices (oxygen coal ratio and gasifier temperature). In view of above problems, based on the actual production ofcoal-water slurry gasifier, a dynamic matrix control method based on multiple models switching is proposed in this paper.The off-line process data under different coal quality conditions are used to construct a multiple working model set for onlinedynamic matrix controller. The intergral squared error-total squared variation (ISE-TSV) is used as the controller performance index to monitor the controller performance and model mismatch and the multiple model prediction value isused as the model switching criterion. The advanced control of the coal gasification unit is realized through the multiplemodels switching dynamic matrix control. According to the proposed method, a multiple model switching control softwareWisdom-Controller has been developed. The Wisdom-Controller has been tested on the UniSim simulation platformand applied to the real industrial gasifier. The simulation and industrial application results have verified that the proposedmethod can accurately control the change of oxygen-coal ratio and gasifier temperature under the condition of fluctuatingcoal quality conditions. Compared with the traditional manual operation, the mean square control deviation of oxygen-coalratio and the gasifier temperature have been reduced obviously with the proposed advanced process control method basedon multiple models switching. Also, the specific coal consumption has been reduced, the synthetic gas output has been increasedand the economic benefit of the unit has been significantly improved. The industrial application results have verifiedthat the proposed method provides a new and effective way to realize the advanced process control of coal gasificationindustrial process.

北京市自然科学基金资助项目(4172044)

张天辰，赵众. 基于多模型切换控制的煤气化工业过程先进控制[J]. 煤炭学报，2023，48(4)：1747−1758

ZHANG Tianchen，ZHAO Zhong. Advanced process control of coal gasification industrial process based on multiple models switching control[J]. Journal of China Coal Society，2023，48(4)：1747−1758