Direct identification of continuous-time models based on PSO and its application

被引：0
作者：
Yuan H. [1 ,2 ]
Yang P. [1 ]
Xu C.-M. [1 ]
Peng D.-G. [1 ]
机构：
[1] School of Automation Engineering, Shanghai University of Electric Power, Shanghai
[2] State Grid Dazhou Power Supply Company, Dazhou
来源：
Yuan, Han (191545876@qq.com) | 2018年 / Northeast University卷 / 33期
关键词：
Consistency; Direct identification of continuous-time model; Machine with elastic load; PSO;
D O I：
10.13195/j.kzyjc.2017.0438
中图分类号：
学科分类号：
摘要：
To avoid the bias of continuous-time equation model's estimation by numerical filters, the direct identification of the continuous-time model based on the PSO and output error method is proposed, which uses a simplified fourth Runge-Kutta method to the approximate system's output, and used PSO for the numerical optimization to aviod the estimation bias. The consistence of the proposed method is analysed, which shows that the parameters can be estimated asymptotically consistent in an open loop. Simulations show that the proposed method has a good estimation in this case than several continuous-time identification methods such as SRIVC. Finally, the proposed method is used for a good dynamic model of machine with elastic load, which verifies its effectiveness. © 2018, Editorial Office of Control and Decision. All right reserved.
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页码：1136 / 1140
页数：4
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