Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System
The goal of this paper is to present a study of tuning the Proportional–Integral-Derivative (PID) controller for control the position of a DC motor by using the Particle Swarm Optimization (PSO) technique as well as the Ziegler & Nichols (ZN) technique. The conventional Ziegler & Nichols (ZN...
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| Format: | Article |
| Language: | English |
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Al-Nahrain Journal for Engineering Sciences
2017-01-01
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| Series: | مجلة النهرين للعلوم الهندسية |
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| Online Access: | https://nahje.com/index.php/main/article/view/105 |
| _version_ | 1818950343459864576 |
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| author | Ahmed Khalaf Hamoudi |
| author_facet | Ahmed Khalaf Hamoudi |
| author_sort | Ahmed Khalaf Hamoudi |
| collection | DOAJ |
| description | The goal of this paper is to present a study of tuning the Proportional–Integral-Derivative (PID) controller for control the position of a DC motor by using the Particle Swarm Optimization (PSO) technique as well as the Ziegler & Nichols (ZN) technique. The conventional Ziegler & Nichols (ZN) method for tuning the PID controller gives a big overshoot and large settling time, so for this reason a modern control approach such as particle swarm optimization (PSO) is used to overcome this disadvantage. In this work, a third order system is considered to be the model of a DC motor. Four types of performance indices are used when using the particle swarm optimization technique. These indices are ISE, IAE, ITAE and ITSE. Also study the effect of each one of these performance indices by obtaining the percentage overshoot and settling time when a unit step input is applied to a DC motor. A comparison is made between the two methods for tuning the parameters of PID controller for control the position of a DC motor is considered. The first one is tuning the controller by using the Particle Swarm Optimization technique where the second is tuning by using the Ziegler & Nichols method. The proposed PID parameters adjustment by the Particle Swarm Optimization technique showed better results than the Ziegler & Nichols’ method. The obtained simulation results showed good validity of the proposed method. MATLAB programming and Simulink were adopted in this work. |
| first_indexed | 2024-12-20T09:17:05Z |
| format | Article |
| id | doaj.art-c2964f56770b49c4ab798f5df8b3dd84 |
| institution | Directory Open Access Journal |
| issn | 2521-9154 2521-9162 |
| language | English |
| last_indexed | 2024-12-20T09:17:05Z |
| publishDate | 2017-01-01 |
| publisher | Al-Nahrain Journal for Engineering Sciences |
| record_format | Article |
| series | مجلة النهرين للعلوم الهندسية |
| spelling | doaj.art-c2964f56770b49c4ab798f5df8b3dd842022-12-21T19:45:23ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622017-01-01201105Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control SystemAhmed Khalaf Hamoudi0Department of Control & Systems Engineering – University of Technology Baghdad - IraqThe goal of this paper is to present a study of tuning the Proportional–Integral-Derivative (PID) controller for control the position of a DC motor by using the Particle Swarm Optimization (PSO) technique as well as the Ziegler & Nichols (ZN) technique. The conventional Ziegler & Nichols (ZN) method for tuning the PID controller gives a big overshoot and large settling time, so for this reason a modern control approach such as particle swarm optimization (PSO) is used to overcome this disadvantage. In this work, a third order system is considered to be the model of a DC motor. Four types of performance indices are used when using the particle swarm optimization technique. These indices are ISE, IAE, ITAE and ITSE. Also study the effect of each one of these performance indices by obtaining the percentage overshoot and settling time when a unit step input is applied to a DC motor. A comparison is made between the two methods for tuning the parameters of PID controller for control the position of a DC motor is considered. The first one is tuning the controller by using the Particle Swarm Optimization technique where the second is tuning by using the Ziegler & Nichols method. The proposed PID parameters adjustment by the Particle Swarm Optimization technique showed better results than the Ziegler & Nichols’ method. The obtained simulation results showed good validity of the proposed method. MATLAB programming and Simulink were adopted in this work.https://nahje.com/index.php/main/article/view/105Position of a DC motorPID controllerParticle Swarm OptimizationZiegler and Nichols’ methodperformance indices |
| spellingShingle | Ahmed Khalaf Hamoudi Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System مجلة النهرين للعلوم الهندسية Position of a DC motor PID controller Particle Swarm Optimization Ziegler and Nichols’ method performance indices |
| title | Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System |
| title_full | Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System |
| title_fullStr | Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System |
| title_full_unstemmed | Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System |
| title_short | Optimum Setting of PID Controller using Particle Swarm Optimization for a Position Control System |
| title_sort | optimum setting of pid controller using particle swarm optimization for a position control system |
| topic | Position of a DC motor PID controller Particle Swarm Optimization Ziegler and Nichols’ method performance indices |
| url | https://nahje.com/index.php/main/article/view/105 |
| work_keys_str_mv | AT ahmedkhalafhamoudi optimumsettingofpidcontrollerusingparticleswarmoptimizationforapositioncontrolsystem |