Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/35731| Title: | A Novel Methodology Based on Particle Swarm Optimization and Genetic Algorithm in Paper Industry and Marine Application |
| Authors: | Kumar, M.Senthil Mahadevan, K. |
| Keywords: | PID Controller;Genetic algorithm;Particle Swarm Optimization;Marine application |
| Issue Date: | Oct-2016 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Scope of this analysis is to tune the proportional-integral-derivative (PID) parameters autonomously for controlling the moisture content in the paper industry by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. The GA and PSO based PID tuning results are compared with the Conventional based PID tuning to examine the performance of time domain specifications; hence, it is well-suited for marine application. The real time prototype model of paper machine is designed and controlled by using PIC microcontroller embedded with the programming in C language. This model is used to measure the moisture content level in the paper. |
| Page(s): | 1357-1364 |
| ISSN: | 0975-1033 (Online); 0379-5136 (Print) |
| Appears in Collections: | IJMS Vol.45(10) [October 2016] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJMS 45(10) 1357-1364.pdf | 195.97 kB | Adobe PDF | View/Open |
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