污水生化处理过程中溶解氧的非线性控制  

Nonlinear control of dissolved oxygen concentration in wastewater biological treatment process

作　　者：张平[1] 王宏[1] 苑明哲[1] 

机构地区：[1]沈阳自动化研究所

出　　处：《仪器仪表学报》2008年第2期387-391,共5页Chinese Journal of Scientific Instrument

摘　　要：溶解氧浓度是污水生化处理过程中的一个重要参数,传统的控制方法并不能取得理想的控制效果。由于溶解氧过程模型中的呼吸率不易直接得到,将神经网络建模技术与溶解氧过程数学模型相结合得到溶解氧的混合非线性过程模型。针对所得到的混合非线性过程模型,提出了一般模型的非线性控制方法。该方法不需要任何线性化和模型简化工作,所得到的溶解氧的混合非线性过程模型可以直接整合到控制器的设计中。仿真结果验证了该设计方法的有效性和正确性。The dissolved oxygen （DO） concentration has been an important process parameter in biological wastewater treatment process （WWTP） and perfect result can＇t be achieved using traditional control strategy. Since the respiration rate is difficult to get, neural network modeling technique and DO process mathematic model are combined to obtain the hybrid model of DO. Based on the hybrid nonlinear DO model, generic model control （GMC） is presented to control DO concentration. The proposed nonlinear control scheme does not need any linearization or model reduction, it can directly incorporate the hybrid nonlinear DO process model into the design of the controller. Simulation results show the effectiveness and correctness of the proposed method.

关 键 词：污水生化处理过程 溶解氧 一般模型控制 神经网络 呼吸率 非线性控制 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]