African Buffalo Optimization Algorithm for Tuning Parameters of a PID Controller in Automatic Voltage Regulators

Odili, Julius Beneoluchi and M. N. M., Kahar and Noraziah, Ahmad (2016) African Buffalo Optimization Algorithm for Tuning Parameters of a PID Controller in Automatic Voltage Regulators. International Journal of Simulation: Systems, Science & Technology, 17 (33). 45.1-45.7. ISSN 1473-8031(Print); 1473-804x(Online) . (Published)

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In this paper, we present the African Buffalo Optimization (ABO) approach for the metaheuristic tuning of the Proportional, Integral & Derivative (PID) Controller parameters of Automatic Voltage Regulators in electrical power generation and transmission. ABO simulates the movement of African Buffalos as they migrate from place to place all over Africa in search of grazing pastures. The buffalos use just two basic vocalizations, namely the waaa and the maaa to organize the entire herd in their migration and search for food a nd water. Though a recently-designed algorithm, the ABO has been effective and efficient in solving a number of search optimization problems. The highpoints of the ABO include its use of few parameters, constant interactions among the buffalos and the deployment of the exploration and exploitations mechanisms of the algorithm in every iteration. The simulation outcome of the application of ABO to tune the parameters of a PID-Controller parameters of Automatic Voltage Regulators has been very competitive when compared similar outcomes of other metaheuristics tuners: BFO-PID, PSO-PID, GA-PID, PID-PSO, PID Tuner and ACO-PID.

Item Type: Article
Uncontrolled Keywords: Automatic voltage regulator; African buffalo optimization; Metaheuristics; Proportional; Integral and derivative; Tuning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 22 Feb 2018 07:02
Last Modified: 27 Jul 2018 02:01
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