![](/images/graphics-bg.png)
Improve the performance of PID controller by two algorithms for controlling the DC servo motor
Other Title(s)
تحسين أداء المسيطر التناسقي التكاملي التفاضلي باستخدام خوارزميتان للسيطرة على محرك تيار مستمر
Author
Source
Issue
Vol. 22, Issue 1 (31 Jan. 2016), pp.172-183, 12 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2016-01-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Abstract EN
The paper uses the Direct Synthesis (DS) method for tuning the Proportional Integral Derivative (PID) controller for controlling the DC servo motor.
Two algorithms are presented for enhancing the performance of the suggested PID controller.
These algorithms are Back-Propagation Neural Network and Particle Swarm Optimization (PSO).
The performance and characteristics of DC servo motor are explained.
The simulation results that obtained by using Matlab program show that the steady state error is eliminated with shorter adjusted time when using these algorithms with PID controller.
A comparative between the two algorithms are described in this paper to show their effectiveness, which is found that the PSO algorithm gives better results to improve the PID controller for controlling the DC servo motor compared to the neural network algorithm.
American Psychological Association (APA)
Abd al-Jalil, Nur Safa. 2016. Improve the performance of PID controller by two algorithms for controlling the DC servo motor. Journal of Engineering،Vol. 22, no. 1, pp.172-183.
https://search.emarefa.net/detail/BIM-686715
Modern Language Association (MLA)
Abd al-Jalil, Nur Safa. Improve the performance of PID controller by two algorithms for controlling the DC servo motor. Journal of Engineering Vol. 22, no. 1 (Jan. 2016), pp.172-183.
https://search.emarefa.net/detail/BIM-686715
American Medical Association (AMA)
Abd al-Jalil, Nur Safa. Improve the performance of PID controller by two algorithms for controlling the DC servo motor. Journal of Engineering. 2016. Vol. 22, no. 1, pp.172-183.
https://search.emarefa.net/detail/BIM-686715
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 179-183
Record ID
BIM-686715