Optimal operation mode switching of dividing wall distillation based on model-predictive control
文献类型：会议论文
| 作者 | Pan H(潘昊); Yu HB(于海斌) ; Yuan MZ(苑明哲)
|
| 出版日期 | 2015 |
| 会议名称 | 27th Chinese Control and Decision Conference, CCDC 2015 |
| 会议日期 | May 23-25, 2015 |
| 会议地点 | Qingdao, China |
| 关键词 | Dividing Wall Distillation Model-Predictive Control Process Control Optimal Operation Fractionating Column |
| 页码 | 332-337 |
| 中文摘要 | Dividing wall distillation(DWC) column is becoming a new standard of separating and purifying multivariate mixed liquid, because of DWC represents that forced operation will play a role in separation technology, which have high energy efficiency and compact structure. DWC is composed of a lot of equipments of diversified configurations, so it is complicated to operate process and requirements for specific or advanced control system technology. When operation objectives of DWC need to be online conversion, operation will be not smooth, etc. In order to solve these problems, we used two-layer control structure. The bottom layer was basic control layer(PID) and model-predictive control(MPC), and the top layer was predictive functional control(PFC) or fast model-predictive control(FMPC) which can realize operation optimizing function. The main objective is to achieve a smooth transition between the optimal mode switching and to ensure optimum goal can be realized. By implementation of proposed operating strategy in a four-component mixture Kaible column, the simulation results showed that this new method was feasible and concise. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-7016-2 |
| WOS记录号 | WOS:000375232900057 |
| 源URL | [http://ir.sia.cn/handle/173321/17191]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Pan H,Yu HB,Yuan MZ. Optimal operation mode switching of dividing wall distillation based on model-predictive control[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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