Optimization of Electric Automation Control Model Based on Artificial Intelligence Algorithm-Reference-Cited by-同舟云学术

Optimization of Electric Automation Control Model Based on Artificial Intelligence Algorithm

Published:2022-03-18 Issue: Volume:2022 Page:1-9
ISSN:1530-8677
Container-title:Wireless Communications and Mobile Computing
language:en
Short-container-title:Wireless Communications and Mobile Computing

Author:

Ma Run¹^ORCID,Kareem Shahab Wahhab²³^ORCID,Kalra Ashima⁴^ORCID,Doewes Rumi Iqbal⁵^ORCID,Kumar Pankaj⁶^ORCID,Miah Shahajan⁷^ORCID

Affiliation:

1. School of Automation, Chongqing Industry Polytechnic College, Chongqing 401120, China

2. Department of Technical Information System, Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Iraq

3. Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Erbil, Iraq

4. ECE Department, Chandigarh Engineering College, Landran, Mohali, India

5. Faculty of Sport, Universitas Sebelas Maret, Jl. Ir. Sutami, 36A, Kentingan, Surakarta, Indonesia

6. Department of Computer Science & Engineering, Lloyd Institute of Engineering & Technology, Greater Noida, 201306 Uttar Pradesh, India

7. Department of EEE, Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh

Abstract

To effectively solve the problems faced by modern electrical engineering, the design of an electrical automation control system based on artificial intelligence technology is realized. A model of electrical automation control system based on an artificial intelligence algorithm is presented. The control parameters are optimized by using the artificial intelligence algorithm control strategy. The research results show that when there is 20% load interference and 2.1 Hz frequency interference, the maximum failure rate of the turbine under system control is 0.02, indicating that the system has high anti-interference. Therefore, in the automatic control of electrification, the application of the artificial intelligence algorithm can greatly improve the control response time of the automatic control of electrification, save cost, and achieve efficient production.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://downloads.hindawi.com/journals/wcmc/2022/7762493.pdf

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