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

页码：130 / 134

页数：5

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