摘要
模型参考自适应系统是基于稳定性设计的速度辨识方法,它保证了速度估计的渐进收敛性,但是由于模型参考自适应系统的速度辨识是以参考模型准确为基础的,参考模型本身参数的准确程度直接影响到速度辨识的性能。因此提出一种改进模型参考自适应系统用于直线电机的速度辨识,力求减小电机参数变化对性能的影响。通过对改进系统进行仿真研究发现改进辨识系统会出现振荡,进而提出一种新型自适应律,以有利于系统稳定。通过实验对所建立的系统进行验证。
Based on stability model reference adaptive speed identification system is designed, it guarantees the progressive convergence of the speed estimation. However, the speed identification of model reference adaptive system depends on an accurate reference model, the accuracy of reference model parameters directly affects the speed identification performance. Hence a modified model reference adaptive system for linear motor speed identification was presented, strive to reduce the impact of motor parameters. Through simulation found that the modified system may oscillate, then a new adaptive law was proposed in order to facilitate system stability. The system is validated through experiment.
出处
《电气传动》
北大核心
2013年第2期15-18,共4页
Electric Drive
基金
国家电网公司科技资助项目(DL71-10-001)
关键词
模型参考自适应
速度辨识
自适应律
参考模型
可调模型
model reference adaptive
speed identification
adaptive law
reference model
adjustable model
