Iteration control of particle size distribution in cobalt oxalate process based on moment generation network
作者： Lv Chao , Wang Jing , Jin Qibing , Zhou Jinglin , Wu Haiyan
DOI: 10.1109/CCDC.2015.7162067
关键词: Tracking (particle physics) 、 Control theory 、 Convergence (routing) 、 Network model 、 Construct (python library) 、 Mathematics 、 Process (computing) 、 Moment (mathematics) 、 Particle-size distribution 、 Population balance equation
摘要: Particle size distribution (PSD) control is very complicated to realize due the absence of effective measuring methods for PSD. In order solve this problem, an iteration learning strategy based on moment generation network model proposed. The tracking PSD which cannot be measured online converted into measurable control. There are two steps develop strategy. Firstly, a built construct relationship between and process measurements. Then designed drive achieve target according repetitive nature process. cobalt oxalate synthesis was selected test performance experimental results demonstrated that approach had strong ability in convergence resisting disturbance.
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