Optimal Adaptive Control of a DC Motor Using Differential Evolution Variants

被引：0
|
作者：
Rodriguez-Molina, Alejandro [1 ]
Gabriel Villarreal-Cervantes, Miguel [1 ]
Aldape-Perez, Mario [1 ]
机构：
[1] Inst Politecn Nacl, CIDETEC, LGAC Mecatron, Dept Posgrad, Av Juan de Dios Batiz S-N, Cdmx 07700, Mexico
来源：
2017 IEEE 7TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, a novel adaptive control strategy for the speed regulation task of a DC motor is presented. The control strategy is based on the formulation of an on-line dynamic optimization problem, which solution is a set of DC motor parameters that are used in calculating the control signal. The optimization problem is solved by using len different variants of the ineta-heuristic technique Differential Evolution (DE). Results in simulation are compared to determine the most effective variant for its use in this problem. Additionally, the proposed strategy is compared with two classical controllers, a Model Reference Adaptive Controller (MRAC) and a PI controller, in order to highlight its benefits.
引用
收藏
页码：283 / 288
页数：6
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