Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System

Zafer Ortatepe

Makale detayları

Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System

Yazarlar:

Zafer Ortatepe

Yayıncı:

Gazi University

Ana Başlıklar:

Evolutionary Computation | Electrical Machines and Drives

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.10 Issue 3, pp.286-300

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299912

pISSN:

2147-9542

Anahtar kelimeler:

Özet:

 This study presents the software and implementation for proportional-integral-derivative PID tuning of a DC motor control system using genetic algorithm GA. The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error ITAE is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLABSimulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

 This study presents the software and implementation for proportional-integral-derivative PID tuning of a DC motor control system using genetic algorithm GA. The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error ITAE is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLABSimulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

 This study presents the software and implementation for proportional-integral-derivative PID tuning of a DC motor control system using genetic algorithm GA. The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error ITAE is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLABSimulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

 This study presents the software and implementation for proportional-integral-derivative PID tuning of a DC motor control system using genetic algorithm GA. The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error ITAE is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLABSimulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

Makale detayları

Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System

Yazarlar: Zafer Ortatepe

Yayıncı: Gazi University

Ana Başlıklar: Evolutionary Computation | Electrical Machines and Drives

Dergi: Gazi University Journal of Science Part A: Engineering and Innovation Vol.10 Issue 3, pp.286-300

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001299912

pISSN: 2147-9542

DC Motor

Genetic Algorithm

PID Tuning

Sayı

Yazarlar:

Zafer Ortatepe

Yayıncı:

Gazi University

Ana Başlıklar:

Evolutionary Computation | Electrical Machines and Drives

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.10 Issue 3, pp.286-300

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299912

pISSN:

2147-9542