IET CONTROL THEORY AND APPLICATIONS, cilt.20, sa.1, 2026 (SCI-Expanded, Scopus)
Automatic voltage regulation (AVR) is an essential component of the stability and reliability of the electrical grid. It is vital that the controller, which has been designed for the purpose, functions in the most optimal manner. This is particularly important with regard to keeping the voltage amplitude within specified limits. In view of the aforementioned factors, the present study proposes a novel controller, designated the adaptive logistic proportional-integral-derivative (A-LogPID) controller, whose purpose is to address the control challenge in AVR systems. In order to ascertain the most effective controller parameters of the A-LogPID, the jellyfish search (JS) optimization methodology is utilized, with the objective being to minimize Zwee-Lee Gaing's (ZLG) time-domain performance function. An evaluation of the proposed A-LogPID controller is conducted through a comparative analysis of extant controller structures in the literature. A comprehensive and detailed set of tests is considered, including time-domain analysis, uncertainty in system parameters, and attack performance of the proposed controllers. In performance tests, two distinct cyberattack models involving false data injection and denial-of-service attacks are used for the first time in an AVR system. The study also introduces a cyberattack detection index for the controllers, complete with a statistical analysis. To support reproducibility and future research, the dataset and simulation models used for cyberattack-based controller evaluation are made available in a public repository. The performance assessments clearly show that the A-LogPID controller has a better capacity for dynamic response and resilience in specified scenarios than alternative PID controller methodologies.