智能融合控制策略在水净化系统中的应用研究

Application Research on Intelligence Fusion-Based Control Strategy for Drinking Water Purifying System

为了解决模糊控制规则难以随水温和混凝等情况变化而改变的问题,提出了一种基于仿人智能的融合控制策略,该策略基于对源水混凝、澄清、沉淀和过滤的净化过程的分析,总结了水净化过程的控制论特性,构造了仿人智能的工程控制算法.最后以大滞后大惯性的一阶模型为例作了仿真实验,分别采用所提出算法与PID算法对系统的响应在控制品质、抗干扰性能及参数变化鲁棒性等方面作了比较,实验说明所提出的算法其响应时间快、控制精度高.仿真实验结果表明,基于仿人智能融合控制策略构造的控制器在生活水净化系统控制中有较强的适应能力和鲁棒性.

To solve the difficulty of fuzzy control rule in changing with the status variation in water temperature and mixed solidification,this paper puts forward a sort of fusion control strategy based on simulated human intelligence.On the basis of an analysis of the purification processes like mixed solidification,coagulating sedimentation and filtering,the strategy summarizes the cybernetics characteristics of the processes and constructs the engineering control algorithm based on simulated human intelligence.Taking one-order model with large lag and inertia as an example,it compares the presented algorithm and PID in their response curves in control quality,anti-jamming,and robustness of parameter change,and the results indicate that the former is quicker in response time and higher in control precision.The simulation results show that this algorithm has high adaptation and robustness in the control of the drinking water purifying system.