Abstract
The frequency spectrums of some indirect fuel measures in supercritical once-through boiler are analyzed. It is concluded that frequency spectrums of different measures are complementary. An algorithm for distributed data fusion is proposed based on the complement of distributed data and architecture of generalized observer. The paper synthesizes the complementary information of high steady precision of steam temperature measures along the fluid and high response speed of fuel measures. The problem measuring transient fuel is solved with data fusion and the response speed is improved while accuracy is still maintained. This method could considerably improves the control quality of supercritical once-through boiler fuel/water. The robustness of fusion algorithm is analyzed and it is concluded this method could depress the influence of one-measure invalidation.
| Original language | English |
|---|---|
| Pages (from-to) | 191-195 |
| Number of pages | 5 |
| Journal | Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering |
| Volume | 24 |
| Issue number | 2 |
| State | Published - Feb 2004 |
Keywords
- Data fusion
- Distributed data
- Measure invalidation
- Supercritical once-through boiler
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