Miniature accelerometer precision improvement using intelligent control

T. Grigorie, M. Lungu, I. Edu, R. Obreja
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引用次数: 1

Abstract

The paper presents a way to improve the transient regime of a miniature accelerometer by using a fuzzy controller to close its loop. The fuzzy controller replaces an electronic block on the feedback path of the closed loop, block that, in the classical architecture, assured the system damping and, in the same time, played the role of elastic link of the accelerometer proof mass. For the proposed controller, proportional-derivative variant is chosen, and its input-output mapping is derived. The membership functions for inputs are s-functions, π-functions, respectively z-functions, while the output membership functions have constant values. To define the rules, a zero-order Sugeno fuzzy model is chosen. Finally, a comparative numerical study between the classical and the proposed accelerometer architectures is made.
采用智能控制提高微型加速度计精度
本文提出了一种利用模糊控制器对微型加速度计进行闭环控制以改善其瞬态状态的方法。模糊控制器取代了闭环反馈路径上的电子块,在经典结构中,电子块既保证了系统的阻尼,又起到了加速度计验证质量的弹性链接作用。对于所提出的控制器,选择了比例导数变量,并推导了其输入输出映射关系。输入的隶属度函数为s函数,π函数,z函数,输出的隶属度函数为常数值。为了定义规则,选择零阶Sugeno模糊模型。最后,对经典加速度计结构和本文提出的加速度计结构进行了数值比较研究。
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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