摘要
基于Smith预估控制和参数最优化理论,提出了可变纯滞后时变系统的模型参考自适应预估控制(MRAPC)。MRAPC由自适应预估器,自适应过程模型,自适应机构及常规控制器所组成。它大大地减少了系统中时变参数和可变纯滞后的影响,控制性能明显地强于Smith预估控制。其后给出的仿真结果证实了MRAPC的有效性。
Based on Smith Predictor Control and parametric optimization theory, thispaper presents a model reference adaptive predictor control (MRAPC) for time-varying systems with variable time delay. The MRAPC consists of an adaptivepredictor, an adaptive process model, an adaptive mechanism and a conventionalcontroller. It is much better than Smith Predictor Control in reducing the influ-ence of time-varying parameters and variable time delay in the systems. Simulationresults are given to demonstrate the availability of the MRAPC.
关键词
纯滞后
时变系统
预估
控制
model reference adaptive control
Smith predictor control
parametric optimization theory
time-varying system
variable time delay
