Fractional Order System Identification and Controller Design Using PSO

被引：0
|
作者：
Gupta, Rohit [1 ]
Gairola, Sanjay [1 ]
Diwiedi, Sanjeet [2 ]
机构：
[1] NIET, Dept Elect & Elect Engn, Greater Noida, Uttar Pradesh, India
[2] DANFOSS Drives AS, Global R&D, DK-6300 Hasselager, Denmark
来源：
2014 INNOVATIVE APPLICATIONS OF COMPUTATIONAL INTELLIGENCE ON POWER, ENERGY AND CONTROLS WITH THEIR IMPACT ON HUMANITY (CIPECH) | 2014年
关键词：
Fractional order plant; Fitness Function; Heating Furnace; Particle Swarm Optimization; PID CONTROLLERS;
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：
This paper presents a Particle Swarm Optimization (PSO) based method to identify the fractional order transfer function of an industrial heating furnace system using its experimental data. Also the PSO technique for design of PID controller is proposed for the same system with its frequency and time domain analysis. For tuning of the PID controller in this system, PSO technique has been investigated and the performance is analyzed using MATLAB. A fitness function is proposed which provides the most suitable controller design.
引用
收藏
页码：149 / 153
页数：5
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