Gain optimization of sliding mode speed control for DC motor

被引：0
|
作者：
Jammousi, Kais [1 ]
Bouzguenda, M. [2 ]
Dhieb, Youssef [1 ]
Ghariani, Moez [1 ]
Yaich, Mohamed [1 ]
机构：
[1] Natl Sch Engineers Sfa, Lab Adv Elect Syst & Sustaimble Energy, Sfax, Tunisia
[2] King Faisal Univ, Elect Engn Dept, Coll Engn, Al Hasa, Saudi Arabia
来源：
2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON) | 2020年
关键词：
Sliding mode control; Ant colony optimization DC motor;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
引用
收藏
页码：159 / 163
页数：5
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