| 无迹卡尔曼滤波算法在污水处理BSM1过程中的应用研究 |
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| 引用本文： | 曾静,桑耀凯,李元.无迹卡尔曼滤波算法在污水处理BSM1过程中的应用研究[J].计算机应用与软件,2022(2):63-67. |
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| 作者姓名： | 曾静 桑耀凯 李元 |
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| 作者单位： | 沈阳化工大学信息工程学院 |
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| 基金项目： | 国家自然科学基金项目(61503257,61673279)；;辽宁省教育厅科学技术研究项目(LQ2017003)； |
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| 摘 要： | 污水处理过程具有多变量、强非线性和强扰动等特性,且系统输入具有随机性,不同天气状况和不同时间段的污水的排量不同.扩展卡尔曼滤波存在估计精度低和鲁棒性差等缺陷,当系统模型参数变化和外界环境噪声较大时,扩展卡尔曼滤波估计性能下滑.将无迹卡尔曼滤波算法应用到污水处理系统中,并与扩展卡尔曼滤波算法相比较,结果显示,无迹卡尔曼滤...
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| 关 键 词： | 扩展卡尔曼滤波 无迹卡尔曼滤波 污水处理过程 |
APPLICATION AND RESEARCH OF UNSCENTED KALMAN FILTER ALGORITHM IN BSM1 PROCESS OF WASTEWATER TREATMENT |
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| Zeng Jing,Sang Yaokai,Li Yuan.APPLICATION AND RESEARCH OF UNSCENTED KALMAN FILTER ALGORITHM IN BSM1 PROCESS OF WASTEWATER TREATMENT[J].Computer Applications and Software,2022(2):63-67. |
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| Authors: | Zeng Jing Sang Yaokai Li Yuan |
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| Affiliation: | (School of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142,Liaoning,China) |
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| Abstract: | The wastewater treatment process has the characteristics of multivariable,strong nonlinearity and strong disturbance,and the input of the system is random,the sewage discharge is different in different weather conditions and different time periods.The extended Kalman filter has some defects such as low estimation accuracy and poor robustness.When the system model parameters change and the external environment noise is large,the estimation performance of the extended Kalman filter decreases.In this paper,the unscented Kalman filter algorithm was applied to the wastewater treatment system.The analysis results show that the unscented Kalman filter can better estimate the actual state of the sewage system.This method not only improves the estimation accuracy,but also improves the robustness of the estimation. |
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| Keywords: | Extended Kalman filter Unscented Kalman filter Wastewater treatment |
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