节点文献
低阶加纯滞后对象参数辨识方法
Method to identification of system with low order plus time delay
【摘要】 针对低阶加纯滞后对象,提出了通过递推自动调整遗忘因子最小二乘法辨识对象的动态参数,对输入、输出信号进行滤波后,利用先验知识对输出信号作还原处理,得到新的输出信号,增大输入、输出信号之间的相关性,根据互相关函数和性能函数相联合方法辨识对象的滞后参数。仿真结果表明,该方法对于低阶加纯滞后对象参数辨识是有效的,且具有算法简便快捷,实用性强的特点。
【Abstract】 Based on system with low order plus time delay,the dynamic parameters of the system are identified through adjusting the forgetting factor least square algorithm(FFLS).The waves of input and output signals are filtered.The output signals according to the known information are revised to obtain new output signals.The correlation between input and output signals is enhanced.The combination of cross-correlation function with capability function is used to identify time delay parameters of the system.Simulation result proves the validity of this method.
【Key words】 least squares method; forgetting factor; cross-correlation function; parameter identification;
- 【文献出处】 华北电力大学学报 , 编辑部邮箱 ,2006年05期
- 【分类号】TM711
- 【被引频次】8
- 【下载频次】197