Recursive Singular Value Decomposition Based Parameter Estimation for Thermal Efficiency On-line Monitoring of the Cement Clinker Manufacuring Process
文献类型：会议论文
| 作者 | Liu Z(刘钊); Wang Z(王卓) ; Yu HB(于海斌); Yuan MZ(苑明哲)
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| 出版日期 | 2014 |
| 会议名称 | 11th World Congress on Intelligent Control and Automation (WCICA 2014) |
| 会议日期 | June 29 - July 4, 2014 |
| 会议地点 | Shenyang, China |
| 关键词 | Cement Clinker On-line Monitoring Energy Balance Analytical Model Recursive Singular Value Decomposition Thermal Efficiency |
| 页码 | 2780-2785 |
| 中文摘要 | The cement clinker manufacturing process is a complex process of the conversion and consumption of thermal energy. An energy balance analytical model that can be used for on-line identification is established, aiming at solving the problem that the thermal efficiency can’t be on-line monitored. Considering the input matrix is close to a singular matrix under steady-state condition, a recursive singular value decomposition (RSVD) identification algorithm that can overcome the illconditioned problem in linear regression algorithm is adopted for the on-line estimation of model parameters. In order to avoid the parameter vectors entering complex field in the recursive process, the initial values of the recursive algorithm are improved. The simulation results based on historical data show that the established model and the improved identification algorithm can effectively calculate the thermal efficiency of the cement clinker manufacturing process. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | Proceeding of the 11th World Congress on Intelligent Control and Automation
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| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-5825-2 |
| 源URL | [http://ir.sia.cn/handle/173321/15419]  |
| 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 | Liu Z,Wang Z,Yu HB,et al. Recursive Singular Value Decomposition Based Parameter Estimation for Thermal Efficiency On-line Monitoring of the Cement Clinker Manufacuring Process[C]. 见:11th World Congress on Intelligent Control and Automation (WCICA 2014). Shenyang, China. June 29 - July 4, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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