摘要
生化污水处理过程是典型的非线性、时滞和不确定性的复杂系统,采用传统的控制方法进行污水处理难以取得理想的效果。以溶解氧(DO)参数控制为实例,提出模糊自适应整定PID控制与Smith预估控制器相结合的智能控制方法。MATLAB仿真结果表明,与常规PID控制相比,采用Smith模糊自适应整定PID控制,有效提高了DO控制系统稳态精度、超调量减小,能耗更低,具有一定的推广应用价值。
Biological wastewater treatment processes are complex systems,which are of nonlinear,delay time and uncertain.Ideal effect can't be achieved with traditional control method.Smith-self-adaptive fuzzy PID controller based on the parameter of dissolved oxygen(DO) are proposed.MATLAB simulation result shows that the developed controller has better stability,smaller overshoot and lower energy consumption,compared with the traditional PID controller.The strategy can be popularized easily.
出处
《安徽工业大学学报(自然科学版)》
CAS
2012年第2期142-144,149,共4页
Journal of Anhui University of Technology(Natural Science)
基金
安徽省科技攻关项目(07010302214)
安徽省马鞍山市科技计划项目(马科[2011]88号)
安徽省马鞍山市花山区科技计划项目(2010-010)