基于大滞后磨矿分级系统的动态分支预测转移控制技术

Control technology research on predicting dynamic branches based on grinding and classification system with long time delay

针对较难控制的大滞后过程对象,提出动态分支预测转移控制技术,使控制回路在运行过程中始终保持最佳运行状态,最终提高工业过程设备的运行效率.通过在控制过程中增加对被控对象输入输出之间相关性的跟踪及处理,在基本预测控制算法的基础上再增加一个预测控制变量协调决策层,可在线任意拟合,利用反馈校正的滚动优化策略进行记录及优化,获得被控对象输入输出之间相关性及相应控制策略的动态分支预测转移控制表,结合系统设定值进行区间控制和约束保护措施,在暂态响应和稳态性能之间取得折衷,使控制效果得到明显的改善,不但增强输入控制量的规律性,而且提高响应的快速性和准确性.仿真实验表明模型的在线辨识精确,可以保证系统的鲁棒性能和预期的控制性能.

A control technology on predicting dynamic branches for large dead-time processes was put forward to keep the control loops being optimal all time and improved efficiency of process equipments as well,by the coordination and decision level of prediction control variables,a form on predicting dynamic branches was formed by treatment of relevance of input and output on controlled objects in control software and optimal tracing of rolling optimal strategy based on feedback correction,the technology made compromise between transient response and steady state performance.It is shown that the control effect was improved after field practical application.The technology not only emphasized regularity of input controlled variables,but also improved the accuracy and fast of the response.Simulation example showed that the online identified model was accurate and it could guarantee both desired robustness and control performance.