Work place: Al-Mustansiriyah University/College of Engineering/ Computer Engineering Department, Baghdad, 10001, Iraq
E-mail: nora.ghani994@gmail.com
Website:
Research Interests:
Biography
Nora Ghani Rahman is a M.Sc. Student at Computer Engineering Department, AL-Mustansiriyah University, 2018. B.Sc. Degree from Computer Engineering Department, Diyala university,Iraq,in,2016. E-mail: nora.ghani994@gmail.com.
By Nasir Ahmed Alawad Nora Ghani Rahman
DOI: https://doi.org/10.5815/ijmecs.2019.12.03, Pub. Date: 8 Dec. 2019
This article presents Differential Evolution (DE) to determine optimum fractional proportional-integral-derivative (FPID) controller parameters for model decrease of an automatic voltage controller (AVR) system. The suggested strategy is a straightforward yet efficient algorithm with balanced capacities for exploration and exploitation to efficiently search for space alternatives to find the best outcome. The algorithm's simplicity offers quick and high-quality tuning of optimum parameters for the FPID controller. A time domain performance index is used to validate the suggested DE-FPID controller. The proposed technique was discovered productive and hearty in improving the transient response of AVR framework contrasted with the PID controllers based - Ziegler-Nichols (ZN), FPID based - Invasive Weed Optimization (IWO),FPID based-Sine-Cosine algorithmn (SCA) tuning strategies.
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