摘要
由于传统的设备控制算法需要实时监测各个参数,产生线性组合控制失真,导致控制性能不好。提出基于自抗扰耦合分析的污水处理大型机组设备智能控制算法,对大型机组设备进行参数和控制特征描述,然后设计改进的基于自抗扰耦合的三层前向神经元大型机组设备控制器,定义污水厂的大型机组对污水排泄的单位容积特征系数,计算污水排泄系数,当模糊控制的特征方程没有时滞项时,进行自抗扰耦合控制,得到改进控制滑模面,实现控制算法改进。仿真结果表明,采用该算法可提高对大型机组设备的控制性能,对随机干扰具有很好的适应性,控制系统输出稳定,在大型机组设备自动化控制领域具有较好的应用价值。
Because of the traditional control algorithm of the equipment need to real-time monitor each parameter, which will produce linear combination control distortion and lead to bad control performance. Intelligent control algorithm based on immunity coupled analysis of large sewage disposal equipment is proposed to describe the parameters and control characteristics of large unit equipment, and then design improved big three-layer forward neuron controller based on the immunity coupling, define the unit volume characteristic coefficient of the sewage plant, and calculate the sewage discharge coefficient. When the characteristic equation of fuzzy control is not with time delay, the auto disturbance rejection control is carried out, improved sliding mode control is obtained, and the control algorithm is improved. The simulation results show that this algorithm can improve the control performance of large unit equipment, has a good adaptability to random disturbance, the control system output is stable, and has good application value in the field of large equipment automation control.
出处
《控制工程》
CSCD
北大核心
2016年第4期490-493,共4页
Control Engineering of China
基金
国家自然科学基金(50265002)
内蒙古自然科学基金项目(2009MS0802)
关键词
智能控制
大型机组
污水厂
失真
Intelligent control
large unit
wastewater treatment plant
distortion
