Ant Colony Optimization - a tool for online tuning of a PI controller for a three phase induction motor drive

Kour, Jasdeep; Tiwari, Sanjay

doi:10.1109/care.2013.6733734

Cited by 1 publication

(1 citation statement)

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“…For example, Maamri, Bououden, and Boulkaibet, used the Ant colony optimization algorithm to find the optimal control parameters of the nonlinear chaotic resonator for the aim of minimizing errors between the estimated and actual output [5]. In another study, Kour and Tiwari used the Ant Colony Optimization (ACO) technique in order to ensure low cost the design of a voltage controlled Induction Motor (IM) drive to the PI controller [6]. In 2012, Chonsatidjamroen, Areerak, and Areerak had realized optimal design of the buck type converter controlled by a PI controller with particle swarm optimization [7].…”

Section: Introductionmentioning

confidence: 99%

Buck Dönüştürücü Çıkış Geriliminin Karınca Koloni Algoritması Kullanılarak PI Tabanlı Optimal Kontrolü

Köse¹,

Mühürcü²,

Muhurcu³

et al. 2017

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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In this paper, the output voltage of the buck type DC voltage reducer that is used for the aim of efficient energy transmission is controlled. The discrete PI algorithm is chosen for the control process. The controller parameters Kp and Ki in order to ensure the faultless pursuit of reference DC output voltage level with output voltage of the converter lowest overflow percentage and settling time is optimized. Ant Colony Algorithm that is one of the iterative algorithms has been used in the optimization process. Simultaneous studies have been realized and the results obtained are compared and discussed with the results in the literature. Compared to the performance criteria that are important for the controller, it is seen that the settling time is shorter and the overshoot values are lower.

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Section: Introductionmentioning

confidence: 99%