Optimization of coordinated control system considering on-line correction of coal quality
Autor: | Chen Baowei, Li Gengda, Deliang Zeng, Gongqing Liu, Ping Boyu, Shuo Kong, Pengfei Sun |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Computer science business.industry Feed forward Energy value of coal Thermal power station 02 engineering and technology Soft sensor Stability (probability) Model predictive control 020901 industrial engineering & automation Control theory Control system 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Heat of combustion Coal business |
Zdroj: | 2020 39th Chinese Control Conference (CCC). |
DOI: | 10.23919/ccc50068.2020.9189644 |
Popis: | In this paper, a simplified non-linear model of ultra-supercritical units and a soft sensor model for net calorific value of coal are studied. The generalized predictive control algorithm is applied to the control scheme, and the net calorific value is taken into account in feedforward of predictive controller to enhance the accuracy of prediction. Simulation results show that the control scheme can effectively inhibit the disturbance of coal quality, thereby improving the variable load rate and stability of the unit. The results have been successfully applied to a 660 MW thermal power unit, and have achieved good control performance. |
Databáze: | OpenAIRE |
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