Gain optimization of sliding mode speed control for DC motor

Kais Jammousi; M. Bouzguenda; Youssef Dhieb; Moez Ghariani; Mohamed Yaich; IEEE

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Gain optimization of sliding mode speed control for DC motor

Kais Jammousi, M. Bouzguenda, Youssef Dhieb, Moez Ghariani, Mohamed Yaich and IEEE

2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), pp.159-163

IEEE International Energy Conference

01/01/2020

Abstract

Energy & Fuels

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony Optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony Optimization algorithm.

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Title: Gain optimization of sliding mode speed control for DC motor
Creators - without role: Kais Jammousi - Supreme Council Of Health
M. Bouzguenda - King Faisal University
Youssef Dhieb - Supreme Council Of Health
Moez Ghariani - Supreme Council Of Health
Mohamed Yaich - Supreme Council Of Health
IEEE
Publication Details: 2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), pp.159-163
Series: IEEE International Energy Conference
Publisher: IEEE
Number of pages: 5
Grant note: University of Sfax
Identifiers: 9920083108331
Academic Unit: King Faisal University
Language: English
Resource Type: Conference proceeding