Optimum PI controller design in PMSM using Firefly Algorithm and Genetic Algorithm

Bazi, Smail; Benzid, Redha; Said, N. Hadj

doi:10.1109/icosc.2017.7958699

Cited by 3 publications

(2 citation statements)

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“…PI controller is a derivative of PID controller. It has been extensively used in industrial applications due to its simplicity, robustness, reliability and easy tuning gains in simple control [ 21 ].…”

Section: Application For the Control Of Brushless DC Motormentioning

confidence: 99%

“…Recently, Firefly Algorithm is one of the famous swarm intelligence algorithms for optimization problems that have been introduced in 2008. Due to its ease of design, implementation and flexibility in nature, it has become popular in the field of optimization and has been widely applied to diverse engineering optimization problems such as in [21,22]. Despite all these advantages, it has drawbacks such as the problem of local minima and it was unable to guarantee a balance between exploration and exploitation [2,23].…”

Section: Introductionmentioning

confidence: 99%

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A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor

Bazi

Benzid

Bazi

et al. 2021

Sensors

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Firefly Algorithm (FA) is a recent swarm intelligence first introduced by X.S. Yang in 2008. It has been widely used to solve several optimization problems. Since then, many research works were elaborated presenting modified versions intending to improve performances of the standard one. Consequently, this article aims to present an accelerated variant compared to the original Algorithm. Through the resolving of some benchmark functions to reach optimal solution, obtained results demonstrate the superiority of the suggested alternative, so-called Fast Firefly Algorithm (FFA), when faced with those of the standard FA in term of convergence fastness to the global solution according to an almost similar precision. Additionally, a successful application for the control of a brushless direct current electric motor (BLDC) motor by optimization of the Proportional Integral (PI) regulator parameters is given. These parameters are optimized by the FFA, FA, GA, PSO and ABC algorithms using the IAE, ISE, ITAE and ISTE performance criteria.

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Section: Application For the Control Of Brushless DC Motormentioning

confidence: 99%