References
- B. Ozgenc, M. S. Ayas and I. H. Altas, “Performance improvement of an AVR system by symbiotic organism search algorithm-based PID-F controller,” Neural Comput. Appl., vol. 34, no. 10, pp. 7899–7908, 2022. DOI: 10.1007/s00521-022-06892-4.
- E. Çelik and R. Durgut, “Performance enhancement of automatic voltage regulator by modified cost function and symbiotic organisms search algorithm,” Eng. Sci. Technol., vol. 21, no. 5, pp. 1104–1111, 2018. DOI: 10.1016/j.jestch.2018.08.006.
- Z. L. Gaing, “A particle swarm optimization approach for optimum design of PID controller in AVR system,” IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 384–391, 2004. DOI: 10.1109/TEC.2003.821821.
- M. S. Ayas and E. Sahin, “FOPID controller with fractional filter for an automatic voltage regulator,” Comput. Elect. Eng., vol. 90, pp. 106895, 2021. DOI: 10.1016/j.compeleceng.2020.106895.
- T. A. Jumani, et al., “Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system,” Alexandria Eng. J., vol. 59, no. 4, pp. 2429–2440, 2020. DOI: 10.1016/j.aej.2020.03.005.
- D. Izci, S. Ekinci, H. L. Zeynelgil and J. Hedley, “Fractional order PID design based on Novel improved slime Mould algorithm,” Electric Power Compon. Syst., vol. 49, no. 9-10, pp. 901–918, 2021. DOI: 10.1080/15325008.2022.2049650.
- M. Micev, M. Calasan and D. Oliva, “Fractional order PID controller design for an AVR system using Chaotic Yellow Saddle Goatfish Algorithm,” Mathematics, vol. 8, no. 7, pp. 1182, 2020. DOI: 10.3390/math8071182.
- S. Ekinci, D. Izci, E. Eker and L. Abualigah, “An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator,” Artif. Intell. Rev., vol. 56, no. 2, pp. 1731–1762, 2022. DOI: 10.1007/s10462-022-10216-2.
- A. Tabak, “Maiden application of fractional order PID plus second order derivative controller in automatic voltage regulator,” Int. Trans. Electr. Energy Syst., vol. 31, no. 12, pp. e13211, 2021. DOI: 10.1002/2050-7038.13211.
- E. Kose, “Optimal control of AVR system with tree seed algorithm-based PID controller,” IEEE Access, vol. 8, pp. 89457–89467, 2020. DOI: 10.1109/ACCESS.2020.2993628.
- B. Hekimoglu, “Sine-cosine algorithm-based optimization for automatic voltage regulator system,” Trans. Inst. Meas. Control, vol. 41, no. 6, pp. 1761–1771, 2019.
- N. Paliwal, L. Srivastava and M. Pandit, “Equilibrium optimizer tuned novel FOPID-DN controller for automatic voltage regulator system,” Int. Trans. Electr. Energy Syst., vol. 31, no. 8, pp. e12930, 2021. DOI: 10.1002/2050-7038.12930.
- M. Micev, M. Calasan and D. Oliva, “Design and robustness analysis of an Automatic Voltage Regulator systemcontroller by using Equilibrium Optimizer algorithm,” Comput. Electr. Eng., vol. 89, pp. 106930, 2021. DOI: 10.1016/j.compeleceng.2020.106930.
- M. Micev, M. Calasan, Z. M. Ali, H. M. Hasanien and S. H. A. Aleem, “Optimal design of automatic voltage regulation controller using hybrid simulated annealing–Manta ray foraging optimization algorithm,” Ain Shams Eng. J., vol. 12, no. 1, pp. 641–657, 2021. DOI: 10.1016/j.asej.2020.07.010.
- H. Gozde, “Robust 2DOF state-feedback PI-controller based on meta-heuristic optimization for automatic voltage regulation system,” ISA Trans, vol. 98, pp. 26–36, 2020. DOI: 10.1016/j.isatra.2019.08.056.
- S. Ekinci, A. Demiroren, H. Zeynelgil and B. Hekimoglu, “An opposition-based atom search optimization algorithm for automatic voltage regulator system,” J. Fac. Eng. Archit. Gazi Univ., vol. 35, pp. 1141–1158, 2020.
- I. A. Khan, A. S. Alghamdi, T. A. Jumani, A. Alamgir, A. B. Awan and A. Khidrani, “swarm optimization algorithm-based fractional order PID controller for dynamic response and stability enhancement of an automatic voltage regulator system,” Electronics, vol. 8, no. 12, pp. 1472, 2019. DOI: 10.3390/electronics8121472.
- S. Ekinci, B. Hekimoglu and S. Kaya, “Tuning of PID controller for AVR system using salp swarm algorithm,” in 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), 2018. IEEE; p. 1–6. DOI: 10.1109/IDAP.2018.8620809.
- E. Çelik and N. Öztürk, “A hybrid symbiotic organisms search and simulated annealing technique applied to efficient design of PID controller for automatic voltage regulator,” Soft Comput., vol. 22, no. 23, pp. 8011–8024, 2018. DOI: 10.1007/s00500-018-3432-2.
- A. K. Bhullar, R. Kaur and S. Sondhi, “Enhanced crow search algorithm for AVR optimization,” Soft Comput., vol. 24, no. 16, pp. 11957–11987, 2020. DOI: 10.1007/s00500-019-04640-w.
- S. M. A. Altbawi, A. S. B. Mokhtar, T. A. Jumani, I. Khan, N. N. Hamadneh and A. Khan, “Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm,” J. King Saud Univ. Eng. Sci., vol. 36, pp. 32–44, 2021.
- M. S. Ayas, “Design of an optimized fractional high-order differential feedback controller for an AVR system,” Electr. Eng., vol. 101, no. 4, pp. 1221–1233, 2019. DOI: 10.1007/s00202-019-00842-5.
- F. A. Hashim, E. H. Houssein, K. Hussain, M. S. Mabrouk and W. Al-Atabany, “Honey Badger Algorithm: new metaheuristic algorithm for solving optimization problems,” Math. Comput. Simul., vol. 192, pp. 84–110, 2022. DOI: 10.1016/j.matcom.2021.08.013.
- B. Abdollahzadeh, F. Soleimanian Gharehchopogh and S. Mirjalili, “Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems,” Int. J. Intell. Syst., vol. 36, no. 10, pp. 5887–5958, 2021. DOI: 10.1002/int.22535.