Optimization control of a pulverizing system on the basis of the estimation of the outlet coal powder flow of a coal mill |
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| Affiliation: | 1. Key Laboratory of Measurement & Control New Technology and System for Industrial Process, North China Electric Power University, Changping District, 102206 Beijing, China;2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, 102206 Beijing, China;1. School of Electric and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China;2. Automation Department of Shanghai Jiao Tong University, Dongchuan Rd., Shanghai 200240, China;3. Guangdong Electric Power Research Institute, Meihua Rd., 510600 Guangzhou, China;1. Department of Industrial Engineering (DII), University of Padova, via Venezia 1, 35131 Padova, Italy;2. “Giorgio Levi Cases” Interdepartmental Centre for Energy Economics and Technology, University of Padova, via Marzolo 9, 35131 Padova, Italy;3. Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN), University of Genova, via all’Opera Pia 11a, 16145 Genova, Italy;1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China;2. Key Laboratory of Measurement & Control New Technology and System for Industrial Process, North China Electric Power University, Beijing, China |
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| Abstract: | This study aimed to master the operating characteristics of a pulverizing system, improve the output control precision of the system, and reduce the fluctuation amplitude of the main operating parameters of coal-fired units. A nonlinear dynamic model of a direct-fired pulverizing system that considers the effect of coal moisture on the energy balance of a coal mill was established. Then, an estimated signal of the outlet coal powder flow of the coal mill was constructed as a new output control target of the pulverizing system. Finally, an output control optimization method for the pulverizing system was designed on the basis of this signal. Simulation results showed that the model effectively reflects the dynamic characteristics of a pulverizing system. In addition, the results of simulation were concordant with those of online measurements. The control scheme reduced the internal disturbances in the coal feed rate, thereby improving the tracking capability and control precision of the pulverizing system's output and enhancing the disturbance suppression capability of the mill outlet temperature. Thus, the designed control scheme can ensure the safe and stable operation of coal-fired units. |
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| Keywords: | Pulverizing system Coal powder flow Nonlinear dynamic model Predictive control |
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