Improve the Performance of PID Controller by Two Algorithms for Controlling the DC Servo Motor
Journal of Engineering
View Archive Info| Field | Value | |
| Title |
Improve the Performance of PID Controller by Two Algorithms for Controlling the DC Servo Motor
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| Creator |
Abdul-Jaleel, Noor Safaa
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| Description |
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. - |
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| Publisher |
College of Engineering | University of Baghdad
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| Date |
2016-01-01
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://joe.uobaghdad.edu.iq/index.php/main/article/view/278
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| Source |
مجلة الهندسة; مجلد 22 عدد 1 (2016): Journal of Engineering (Eng. J.); 172-183
Journal of Engineering; Vol 22 No 1 (2016): Journal of Engineering (Eng. J.); 172-183 2520-3339 1726-4073 |
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| Language |
eng
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| Relation |
http://joe.uobaghdad.edu.iq/index.php/main/article/view/278/244
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| Rights |
Copyright (c) 2016 Eng. J.
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