时滞系统智能补偿预测控制方案的实现

An Implementation Method on Intelligent Compensated Predictive Control for Delayed Systems

提出了一种基于DMC预测控制历史数据智能建模基础上的自动补偿方案,该方案适用于参数摄动的时滞对象。仿真研究表明,该补偿算法能明显改善系统增益失配的控制效果,对同时存在增益、时滞失配的系统也有一定效果。由此,我们能在一定程度上降低对被控对象模型的测试要求,增强系统控制的鲁棒性,从而拓宽了DMC预测控制的适用范围。

An intelligent modeling auto-compensated method based on DMC predictive control抯 history data base is produced. The method is suited for delayed perturbation systems. Simulation has verified that the control result of gain unmatching systems has been improved obviously. It was also effective to both gain and delay unmatching system. So, we could reduce measuring requirements for the controlled object and in the meantime strengthen control robustness. We could also wide the application range for the DMC predictive control.