| 简化活性污泥数学模型的优化 |
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| 引用本文： | 刘芳 顾国维. 简化活性污泥数学模型的优化[J]. 重庆环境科学, 2003, 25(8): 40-42,53 |
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| 作者姓名： | 刘芳 顾国维 |
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| 作者单位： | 同济大学污染控制与资源化研究国家重点实验室 上海200092(刘芳)，同济大学污染控制与资源化研究国家重点实验室 上海200092(顾国维) |
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| 基金项目： | 国家自然科学基金重点项目 (50 1 380 1 0 )的子课题，上海市2 0 0 1～ 2 0 0 3重点学科建设的资助项目 |
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| 摘 要： | 为了从控制运行的角度促进简化数学模型的应用，必须借助其它优化手段进一步提高预测精度。本文主要介绍了应用于简化数学模型的扩展卡尔曼滤波、神经网络和误差反馈系统三种优化方法以及优化后的验证结果。从验证结果来看，优化的ROM模型与ASMl模型的定性变化行为相似，基于神经网络的复合模型对PO4^3-和NOx^-的预测结果非常准确，误差反馈的优化系统模拟性能良好。
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| 关 键 词： | 简化数学模型 优化 扩展卡尔曼滤波 神经网络 误差反馈系统 |
| 文章编号： | 1001-2141(2003)08-0040-03 |
Optimization of Simplified Activated Sludge Process Models |
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| Liu Fang,Gu Guowei. Optimization of Simplified Activated Sludge Process Models[J]. Chongqing Environmental Science, 2003, 25(8): 40-42,53 |
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| Authors: | Liu Fang Gu Guowei |
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| Abstract: | In order to promote the simplified activated sludge process models from the operation, the optimization must be used to enhance the simulation precision. The extend Kalman filter, the neural network, the simple errors feedback system and those simulation results were induced. The simulation results showed that the qualitative change behavior of the optimization ROM was similar to that of ASM1, the simulation results of PO 3- _4 and NO -_x of neural network were perfect and that the simulation performance of the simple errors feedback system was well. |
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| Keywords: | simplified activated sludge process models optimization the extend Kalman filter the neural network the simple errors feedback system |
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