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Browsing by Author "Inan, M."

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    Investigation of Pida Controller Parameters Via Pso Algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2019) Donuk, K.; Özbey, N.; Inan, M.; Yeroǧlu, C.; Hanbay, D.
    In this study, a method is proposed to determine the parameters of Proportional Integral Derivative Acceleration (PIDA) controller, which are used in the control of higher degree systems, via Particle Swarm Optimization (PSO) algorithm. Classic controller methods may sometimes be insufficient, especially in the control of higher degree systems. In PIDA controller design, heuristic optimization algorithms, which is one of the recommended methods for these systems, provides successful results. The performance of the PIDA controller obtained by the proposed method in the paper is compared with the gradient search and genetic algorithms in the literature. The unit step response and the frequency response of the controller show the effectiveness of the method. © 2018 IEEE.
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    Performance Comparisons of Optimization Algorithms
    (Institute of Electrical and Electronics Engineers Inc., 2019) Inan, M.; Karaduman, M.; Karci, A.
    Optimization methods are applied to many different problems. While these methods do not guarantee a definite end result, they give a solution that is close to the best result in a reasonable time. Optimization methods are classified as physical, social, music, herd, chemistry, biology and hybrid methods when classified according to the sources they are influenced by. In this study, it is aimed to compare the 5 methods of swarm optimization algorithm methods under the same conditions and applying the same probing. Thus, it is possible to determine the method that obtains the best values in terms of result and speed, and gives the fastest result. For this purpose, cat swarm optimization, whale swarm optimization, cricket algorithm, crow search optimization and salp optimization methods have been determined. When the result obtained from the comparison is evaluated, the best calculation time of the calculations for all functions is done with crow search optimization, the best results are obtained with whale swarm optimization for Ackley, salp optimization methods for Bukin N 6 and crow search optimization for Rastrigin. © 2018 IEEE.