Identification of VSD System Parameters with Particle Swarm Optimization Method

被引：0
|
作者：
Qiu, Yiming [1 ]
Li, Wenqi [1 ]
Yang, Dongsheng [1 ]
Wang, Lei [1 ]
Wu, Qidi [1 ]
机构：
[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 200092, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT I | 2011年 / 6728卷
关键词：
PSO; VSD; Induction Motor; Parameter Identification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A VSD system, which consists of an inverter & an induction motor, is now widely used in all kinds of application. But from the view point of an end user, neither the motor parameters in the mathematics model nor the vector controller structure are known. In this paper a PSO algorithm is programmed with IEC61131-3 language to estimate the parameters for the VSD system, based on the hardware of a vector controlled inverter, in order to reach the similar dynamic performance as a DC motor system. The PSO algorithm could be a kind of alternative approach of present parameter identification functions, for its requirements on the speed of CPU and volume of memory are low, while it converges quickly. It's especially helpful for the adjustment of complicated control system, when the technical requirements are clear & measurable.
引用
收藏
页码：227 / 233
页数：7
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