Ekinci, SerdarHekimoğu, Baran2019-07-032019-07-032018-06-21Hekimoğlu, B., Ekinci, S. (2018). Grasshopper optimization algorithm for automatic voltage regulator system. 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE), 3-5 May 2018, Istanbul, Turkey. https://doi.org/10.1109/iceee2.2018.8391320978-1-5386-6392-9978-1-5386-6391-2978-1-5386-6393-6https://doi.org/10.1109/iceee2.2018.8391320https://hdl.handle.net/20.500.12402/2167A novel design method is presented to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system utilizing the grasshopper optimization algorithm (GOA). The proposed approach is a simple and effective algorithm that is able to solve many optimization problems even those with unknown search spaces effectively. The simplicity of algorithm provides high quality tuning of optimal PID controller parameters. The integral of time weighted squared error (ITSE) is used as the performance index to confirm the performance of the proposed GOA-PID controller. When compared to the other PID controllers based on Ziegler- Nichols (ZN), differential evolution (DE), and artificial bee colony (ABC) tuning methods, the proposed method is found highly effective and robust to improve AVR system's transient response.eninfo:eu-repo/semantics/closedAccessAttribution-NonCommercial-ShareAlike 3.0 United StatesAutomatic Voltage RegulatorGrasshopper Optimization AlgorithmParameter TuningArticleN/AN/A