摘要
本文提出了参考对象的参数自适应时滞补偿器,该补偿器用一族模型拟合大时滞不确定过程。以大时滞不确定被控过程为参考对象,基于Lyapunov稳定理论综合出自适应律,使预估补偿器的参数逐渐逼近被控过程的参数。仿真研究表明,在参数不匹配的情况下,时滞补偿器有良好的自适应跟踪能力。
A kind of object reference parameter adaptive dead time compensator is presented. A group of models are used to simulate the uncertain process with large dead time. The uncertain process with dead time is used as a reference object; the adaptive rule is derived based on Lyapunov stability theory and the parameters of the compensator are made to approach those of the controlled process. Simulation results show that the object reference adaptive compensator has good track capability to overcome the deviations of model parameters.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第11期1535-1541,共7页
Chinese Journal of Scientific Instrument
基金
教育部"高等学校骨干教师资助计划"项目([2000]65-4)
合肥工业大学科学研究发展基金(030402F)资助项目。
关键词
补偿器
对象参考
参数自适应
大时滞
不确定对象
compensator reference object parameter adaptive large dead time uncertain object
