Automatic Temperature Control System Using African vultures optimization algorithm
| Autor: | Muntadher Khamees, Mostafa Abdulghafoor Mohammed, Dina Hassan Abbas |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2958-0544 2788-7421 |
| DOI: | 10.52866/ijcsm.2024.05.03.044 |
| Popis: | One of the most important tasks in control engineering is tuning a PID controller for maximum efficiency. However, without a great deal of practice, manual adjustment of PID settings might result in erroneous results. Using met heuristic algorithms is one method for tweaking the PID controller. These algorithms, which are inspired by the laws of nature, can effectively find the sweet spot for the PID settings. Therefore, instead of manually tweaking the PID controller, using met heuristic methods can greatly enhance the system's performance while decreasing the related expenses. A reliable temperature control system is crucial to the production of a wide variety of industrial goods. The fact that it uses less energy than rivals makes it a hot commodity. The console is the most effective way to monitor this procedure. The air conditioning in the room is managed by a whole new model built on metaheuristic algorithms. The temperature regulation is processed using a PID controller based on the AVOA algorithm. Overshot, settling, and rising times have all been shortened. along with other methods from the literature, such the Ziegler-Nichols and PSO Optimizer algorithm. Efficiency was evaluated in terms of percent overrun, reaction time, settling time, and steady state error. Integral Time Squared Error (ITSE), Integral Time Absolute Error (ITAE), Integral Absolute Error (IAE), and Integral Squared Error (ISE) are used to compare the empirical data. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|