Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding
This research presents firefly algorithm optimization tuned integral plus proportional and derivative (I-PD) controller to control the temperature response model according to Tao Liu and Ke Yao and Furong Gao model. In order to achieve effective and efficient control, proportional integral and der...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Prince of Songkla University
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/6c4d8f300b194ab196b08f03d02713c5 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | This research presents firefly algorithm optimization tuned integral plus proportional and derivative (I-PD) controller to
control the temperature response model according to Tao Liu and Ke Yao and Furong Gao model. In order to achieve effective
and efficient control, proportional integral and derivative (PID) controller is used to compare with I-PD controller through using
Ziegler-Nichols Tuning (ZN), particle swam optimization (PSO), and fuzzy logic controller compared with firefly algorithm
optimization for tuning. All controller designs are modeled in SIMULINK and empirical tests. From the results, it is practically
observed that firefly algorithm tuned PID and I-PD controller outperforms other controllers named ZN, PSO controllers, and also
fuzzy logic controller. In addition, firefly algorithm optimization method provides a good performance as overshoot reduction
and settling. In conclusion, firefly algorithm is a suitable tuning method for temperature controller and can save settling time and
reduce overshoots of input power. |
|---|