| 基于粒子群RBF网络的C3含量软测量模型 |
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| 引用本文： | 商雨青.基于粒子群RBF网络的C3含量软测量模型[J].微计算机信息,2007,23(7):117-119. |
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| 作者姓名： | 商雨青 |
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| 作者单位： | 200240,上海,上海电机学院电气学院 |
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| 基金项目： | 上海市教委自然科学科研项目 |
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| 摘 要： | 鉴于C3含量在线估计对催化裂化生产过程操作意义重大,本文通过建立粒子群RBF神经网络模型、利用软测量技术来实现C3含量的在线估计,并对其仿真结果进行分析和比较。实验结果表明,基于粒子群RBF神经网络的C3含量软测量模型具有较高的精度、较好的性能和良好的应用前景。
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| 关 键 词： | G3含量 软测量 催化裂化 粒子群 神经网络 |
| 文章编号： | 1008-0570（2007）03-1-0117-03 |
| 修稿时间： | 2007-01-12 |
Soft Sensor of C3 Concentration Based on Particle Swarm Optimization RBF Neural Network |
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| SHANG YUQING.Soft Sensor of C3 Concentration Based on Particle Swarm Optimization RBF Neural Network[J].Control & Automation,2007,23(7):117-119. |
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| Authors: | SHANG YUQING |
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| Affiliation: | SHANG YUQING |
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| Abstract: | Aiming at the difficulty in directly-measuring the C3 Concentration of fluid catalytic cracking unit (FCCU), soft-sensor is applied to solve this question. A practical soft- sensing model based on particle swarm optimization (PSO) RBF neural network are established, and the simulation results are analyzed and compared. After the soft-sensor was applied in actual chemical plant, good application effect was got and process control was improved. |
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| Keywords: | RBF |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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