Parameter Identification of an OverDetermined and OverConstrained System using PSO

被引：0
|
作者：
Rao, L. Navinkumar [1 ]
Gairola, Sanjay [2 ]
机构：
[1] Bajaj Inst Technol, Dept Elect Engn, Wardha, India
[2] Noida Inst Engn & Technol, Dept Elect & Elect Engn, Greater Noida, India
来源：
3RD INTERNATIONAL CONFERENCE ON INNOVATIVE APPLICATIONS OF COMPUTATIONAL INTELLIGENCE ON POWER, ENERGY AND CONTROLS WITH THEIR IMPACT ON HUMANITY (CIPECH-18) | 2018年
关键词：
Sine function; Particle Swarm Optimization (P50); Carve fitting; Root Mean Square Error (RAISE); Over-determined system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a curve fitting method for an mer-determined system by a function that is the sum of sinusoidal terms. A Particle Swarm Optimization (PSO) algorithm for this trigonometry curve fitting having a large number of unknown parameters is developed, which is needed in engineering applications. For the over -determined system, PSO based algorithm employs an additional hybrid term for velocity updation to determine the unknown parameters of the sine function. This additional hybrid term provides a better convergence and the iterations proceeds systematically. The algorithm is validated by fitting curve with a function having 18 parameters of mixed type. The code for the algorithm in MATLAB software is presented to establish the general approach.
引用
收藏
页码：130 / 134
页数：5
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