基于细菌觅食优化的自适应控制设计

2017 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2017-05-01 DOI:10.1109/PICICT.2017.16

H. Elaydi, Ramzi J. Al Ghamri

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引用次数: 0

摘要

本文提出了一种基于细菌觅食优化算法(BFOA)的模型参考自适应控制(MRAC)来控制不稳定非线性磁悬浮系统CE152。设计了一个自适应控制器，使磁球悬浮在空气中，以抵消物体的重量。设计了基于BFOA的MRAC控制系统，并利用Matlab/Simulink对其进行了仿真。结果与模糊逻辑(FL)控制和基于模糊逻辑的遗传算法(GA)控制进行了比较。该方法在超调、上升和稳定时间以及稳态误差方面优于所有其他方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designing Adaptive Control Based on Bacteria Foraging Optimization

This paper presents a model reference adaptive control (MRAC) based on bacteria foraging optimization algorithm (BFOA) to control maglev model CE152 which is unstable nonlinear system. An adaptive controller is designed to keep the magnetic ball suspended in the air counteracting the weight of the object. A MRAC based on BFOA to control of this system is designed and simulated using Matlab/Simulink. The results are compared with Fuzzy Logic (FL) control, and Fuzzy Logic based Genetic Algorithm (GA) control. The proposed approach outperformed all other approaches in terms of overshoot, rise and settling time and steady state error.

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2017 Palestinian International Conference on Information and Communication Technology (PICICT)

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