期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：5
页码：151-160
DOI：10.14257/ijsip.2015.8.5.16
出版社：SERSC
摘要：For the system that can't be described by the precise mathematical model and has long time delays, the conventional Smith predictor presents poor stability and large overshoot. Based on the conventional Smith predictor, an improved fuzzy adaptive PID-Smith predictor is proposed. It uses a fuzzy self-tuning PID controller as the primary controller instead of the traditional PID controller. In addition, a feedback loop and an adaptive regulator are imported to ensure the stability and enhance the adaptability of the variable environment. The simulation results show that the new scheme has excellent stability and robustness and can solve the problem of large overshoot in long time delay systems, even when the model mismatch rate comes to 40%.
关键词：long time delays; fuzzy self-tuning PID controller; predictor; robustness; ; model mismatch
