Yazar "Izci, Davut" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation
    (Mdpi, 2023) Ekinci, Serdar; Cetin, Haluk; Izci, Davut; Kose, Ercan
    This work introduces an innovative approach that unites a (PIDNDN2)-N-2 controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance the stability of an automatic voltage regulator (AVR) system. The (PIDNDN2)-N-2 controller, tailored for precision, stability, and responsiveness, mitigates the limitations of conventional methods. The b-AOA optimizer is obtained through the integration of pattern search and elite opposition-based learning strategies into the arithmetic optimization algorithm. This integration optimizes the controller parameters and the AVR system's response, harmonizing exploration and exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate the efficacy of the b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing a wide range of optimization problems, and stands out as a promising choice for various applications. In terms of the AVR system, comparative analyses highlight the superiority of the proposed approach in transient response characteristics, with the shortest rise and settling times and zero overshoot. Additionally, the b-AOA approach excels in frequency response, ensuring robust stability and a broader bandwidth. Furthermore, the proposed approach is compared with various state-of-the-art control methods for the AVR system, showcasing an impressive performance. These results underscore the significance of this work, setting a new benchmark for AVR control by advancing stability, responsiveness, and reliability in power systems.
  • [ X ]
    Öğe
    Feedforward-Compensated PI Controller Design for Air-Fuel Ratio System Control Using Enhanced Weighted Mean of Vectors Algorithm
    (Springer Heidelberg, 2023) Izci, Davut; Kose, Ercan; Ekinci, Serdar
    The air-fuel ratio (AFR) system helps reducing the rate of harmful pollutants in lean combustion spark-ignition engines and achieving optimal fuel consumption, thus, has a significant role in terms of protecting the environment and the consumer's budget. The AFR system includes time delays and presents uncertainties due to existing subsystems and requires an effective control method. Therefore, in this study, a feedforward (FF) compensated proportional-integral (PI) control method based on the enhanced weighted mean of vectors algorithm (En-INFO) is proposed for more effective control of the AFR system. The developed En-INFO algorithm was used to optimally determine the coefficients of the PI + FF controller. The initial performance of the En-INFO algorithm was tested against benchmark functions comparatively and its superiority was confirmed. To achieve optimal tuning of PI + FF controller, a modified integral of squared error objective function was also proposed. The AFR system control was performed using the optimal controller coefficients calculated by the En-INFO algorithm. The performance of the developed control structure was comparatively demonstrated using several analyses such as transient response, tracking performance, disturbance rejection and Pade approach techniques. The results revealed that the PI + FF control method based on the proposed En-INFO algorithm can be used as an effective method for the AFR system control.