Accelerated adaptive stability control of the fractional-order MEMS resonator

被引：1

作者：

Zhao, Le ^{[1
]}

Luo, Shaohua ^{[1
]}

Ma, Huanhuan ^{[1
]}

Hu, Xuechun ^{[1
]}

机构：

[1] Guizhou Univ, Sch Mech Engn, Guiyang, Peoples R China

来源：

2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年

关键词：

FO MEM resonator; Analog circuit; TD; Speed function; Accelerated adaptive stability; SYSTEMS;

D O I：

10.1109/CAC51589.2020.9327731

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 paper, an accelerated adaptive stability controller based on the Chebyshev neural network (CNN) is devised to restrain chaotic oscillation and improve the dynamic performance of the fractional-order (FO) MEMS resonators. Firstly, the dynamic equation of the FO MEMS resonator is established. Secondly, the phase diagrams are presented to reveal the dynamic behaviors of the FO MEMS resonator. Then, an analog circuit of the MEMS resonator is constructed. During the design of the acceleration adaptive stability controller, the speed function, tracking differential (TD) and CNN are integrated into the technical framework of backstopping to realize the acceleration convergence, suppression of complex item explosion and unknown term approximation. In the last, simulation results illustrate that the designed controller can suppress chaotic oscillation and accelerated convergence.

引用

收藏

页码：4613 / 4618

页数：6

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