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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。
Due to the traditional device control algorithms need to monitor each parameter in real time, resulting in a linear combination of control distortion, resulting in poor control performance. The intelligent control algorithm of sewage treatment large unit based on autoantiviability and interference coupling analysis is proposed. The parameters and control characteristics of the large unit are described. Then the improved three-layer frontal neuron device controller based on self- Define the unit volume characteristic coefficient of sewage discharge to the large-scale unit of wastewater treatment plant and calculate the sewage discharge coefficient. When the characteristic equation of fuzzy control has no time-lag term, self-disturbances coupling control is achieved, and the improved control sliding mode surface is obtained to improve the control algorithm . The simulation results show that the proposed algorithm can improve the control performance of large-scale generator set, has good adaptability to random disturbance, and has stable output of the control system. It has good application value in the field of automatic control of large-scale generator sets.