Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm

被引：1
|
作者：
Abu Khadra, Fayiz [1 ]
Abu Qudeiri, Jaber [2 ]
Alkahtani, Mohammed [3 ]
机构：
[1] King Abdulaziz Univ, Fac Engn, Rabigh 21911, Saudi Arabia
[2] King Saud Univ, Princess Fatima Alnijiriss Res Chair Adv Mfg Tech, Riyadh 11421, Saudi Arabia
[3] King Saud Univ, Dept Ind Engn, Riyadh 11421, Saudi Arabia
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2016年 / 2016卷
关键词：
ADAPTIVE FUZZY CONTROL; DISCRETE-TIME-SYSTEMS; NN CONTROL; CONSENSUS CONTROL; TRACKING CONTROL; CHAOS CONTROL; SYNCHRONIZATION; DESIGN; DYNAMICS; OBSERVER;
D O I：
10.1155/2016/3863147
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called "the robust integral of the sign of the error" (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on two chaotic systems, namely, the Duffing-Holms and Van der Pol systems. Numerical simulations showed the good performance of the optimized RISE controller in tracking task and its ability to ensure robustness with respect to bounded external disturbances.
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页数：9
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