基于粒子群算法的时滞动力学系统时滞辨识

Delay identification in time-delay dynamic system using particle swarm optimizer

以柔性悬臂梁为对象,对主动控制中的时滞辨识问题进行了研究。研究中将时滞辨识问题转化为一个优化问题,以系统某一段时间段的真实响应与预估响应之差的绝对值之和作为目标函数,采用粒子群算法作为优化算法。仿真中分别考虑了单时滞和双时滞辨识两种情况,结果表明,该时滞问题辨识方法能够有效地辨识出系统中的时滞量。

In this paper, delay identification in active control systems is investigated by using a flexible cantilever beam as research object. In the study, delay identification is changed into an optimization problem, the sum of absolute value of the difference between the predicted response and actual response of the controlled system in a period of time is taken as an objective function and the particle swarm optimizer is adopted as optimization algorithm. Both of the Single and the double delays are considered in the simulations. Simulation results indicate that the identification method presented is effective in determining the real delay in the system.