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基于神经网络的FCD絮凝控制系统的研究
Research on FCD Coagulation Control System Based on Neural Network
【摘要】 神经网络具有很强的自学习和自适应能力,对于大滞后、非线性的复杂系统有较好的控制效果。针对水处理过程中系统环境不断变化,特别是流量有较大、频繁变化的情况下,在FCD絮凝控制系统的基础上,提出了神经网络控制方法,解决了混凝控制中的目标等效直径动态确定问题。实际运行表明,该方法取得了很好的控制效果,具有广阔的应用前景。
【Abstract】 Neural network is of good ability of self-learning and self-adapting,therefore,it has better control effectness for nonlinear large time-delay complex system.By analyzing the different situation in water supply,especially the sudden change of flow,raises the method of neural network based on flocculation image manipulation,resolve the problem that the target-value of equivalent diameter is always uncertain.The application shows that the method can obtain satisfactory control,and has broad application foreground.
【关键词】 絮凝控制系统;
绒体等效直径;
神经网络;
【Key words】 flocculation control device(FCD); flocculation equivalent diameter; neural network;
【Key words】 flocculation control device(FCD); flocculation equivalent diameter; neural network;
- 【文献出处】 自动化与仪表 ,Automation & Instrumentation , 编辑部邮箱 ,2009年09期
- 【分类号】TP273
- 【被引频次】10
- 【下载频次】121