摘要
基于无辩识自适应控制方式在大滞后系统控制中的不足,采用模糊集合理论改进无辩识自适应控制,设计出模糊预测控制器,不仅解决了带有时滞、不确定性、大惯性工业过程的控制问题,而且没有对过程模型提出要求,并在实际应用中取得了良好的效果。
In connection with the negative features of unidentification adaptive control in big time lag system, a fuzzy forecast controller is so designed that it adopts fuzzy set theory to improve unidentification adaptive control. The controller not only finds a solution to the control process with problems such as delay, inertia and incertitude, but also presents no new demand to process model. The practical operation shows a better effect.
出处
《黑龙江科技学院学报》
CAS
2002年第4期22-24,共3页
Journal of Heilongjiang Institute of Science and Technology
关键词
模糊预测
无辩识自适应控制
大滞后
fuzzy forecast
unidentification adaptive control
big time lag
