Abstract
This paper investigates the performance of the artificial bee colony (ABC) algorithm as an alternative to finding the best optimal gain parameters for a nonlinear proportional-integral-derivative (NLPID) controller applied to the heat control in a nonlinear pasteurization process. Comparisons between a traditional PID and the NLPID optimized by ABC were carried out in terms of setpoint step changes. The experimental results reveal that the ABC-based tuned NLPID controller provides better tracking of the nonlinear dynamical system concerning convergence time, perturbation rejection, and a smoother and shorter duration of the control action. Therefore, these results demonstrate that the ABC algorithm can be used as an alternative to facilitate the tuning of the nonlinear parameters of NLPID controllers.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665458924 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 - Ixtapa, Mexico Duration: 9 Nov 2022 → 11 Nov 2022 |
Publication series
| Name | 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 |
|---|
Conference
| Conference | 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 |
|---|---|
| Country/Territory | Mexico |
| City | Ixtapa |
| Period | 9/11/22 → 11/11/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Artificial bee colony
- Non-linear PID
- Nonlinear
- Optimization
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