摘要
针对大多数工业过程被控对象具有过阻尼特性的特点,提出一种模型预测控制改进算法,可减小截取被控对象时间响应有限序列为内模的截断误差,使取为内模的被控对象时间响应有限序列的长度大大减小,进而大大减少在线预测计算量。
Improvement algorithms of Model Predictive Control (MPC) for most industrial processes with over damping characteristics are presented in this paper. The improvement algorithms may reduce significantly the truncated-error of the internal model truncating the time response sequence of the controlled process, so that the number of the leading terms of the time response sequence truncated as internal model can be greatly reduced, hence the computation effort implementing MPC on-line will be significantly reduced.
关键词
模型预测控制
模型算法控制
算法
Model Predictive Control (MPC), MAC, DMC, linear system
