Optimization of PID controllers in a brushless DC motor system with IWOA

Name: Korakit Vittinanon

Organization : King Mongkut's University of Technology Thonburi. Faculty of Engineering

Email : korakit1995@gmail.com

Name: Wudhichai Assawinchaichote

Organization : King Mongkut's University of Technology Thonburi. Faculty of Engineering

Email : wudhichai.asa@kmutt.ac.th

LCSH: PID controllers

LCSH: Electric motors, Direct current

Abstract: Brushless DC motor system is important in the industry. And PID controller is the most widely used controller. In this research paper, Improve Whale Optimization Algorithm (IWOA) using Whale Optimization Algorithm (WOA) in conjunction with Momentum + Stochastic Gradient Descent to adjust PID’s constant to increase work efficiency and convergence with consider efficiency from the instantaneous response of a brushless DC motor system. The results were compared with Ziegler-Nichols (ZN), The Whale Optimization Algorithm (WOA). And tested with disturbance noise. The IWOA was found to be more efficient and convergent ZN and WOA.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2021

Modified: 2022-10-18

Issued: 2022-10-18

บทความ/Article

application/pdf

BibliograpyCitation : In King Mongkut's University of Technology North Bangkok Faculty of Technical Education. The National Conference on Technical Education and the 9th International Conference on Technical Education (NCTechED 13th and ICTechED 8th) (pp.370-374). Bangkok : King Mongkut's University of Technology North Bangkok

eng

©copyrights King Mongkut's University of Technology North Bangkok

ลำดับที่.	ชื่อแฟ้มข้อมูล	ขนาดแฟ้มข้อมูล	จำนวนเข้าถึง	วัน-เวลาเข้าถึงล่าสุด
1	ICTechED 8thpp.370-374.pdf	692.34 KB	5	2024-11-29 08:55:25

ใช้เวลา

0.02647 วินาที