改进型果蝇算法在压力传感器动态补偿的应用

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英文篇名：Application of Improved Fruit-Fly Optimization Algorithm in Dynamic Compensation of Pressure Sensors 作者：高杨 ; 韩太林 ; 王磊 ; 张永立 英文作者：GAO Yang;HAN Tailin;WANG Lei;ZHANG Yongli;College of Electronic and Information Engineering,Changchun University of Science and Technology;The No.63850thTroop of PLA; 关键词：果蝇优化算法 ; 搜索步长 ; 压力传感器 ; 动态补偿 ; 冲击波 英文关键词：fruit-fly optimization algorithm;;search step;;pressure sensor;;dynamic compensation;;shock wave 中文刊名：CUXI 英文刊名：Journal of Ordnance Equipment Engineering 机构：长春理工大学电子信息工程学院;中国人民解放军63850部队; 出版日期：2019-06-25 出版单位：兵器装备工程学报 年：2019 期：v.40;No.251 基金：总装备部装运局科研项目(2013年) 语种：中文; 页：CUXI201906025 页数：6 CN：06 ISSN：50-1213/TJ 分类号：125-130

摘要

提出了基于改进型果蝇优化算法(DFOA)的解决压力传感器动态补偿方法。通过改变候选解产生机制和引入动态调节步长策略,对果蝇优化算法(FOA)进行了改进。根据压力传感器激波管校准数据寻优得到补偿系统传递函数,对实测冲击波数据进行实验。结果表明,激波管校准数据经补偿后超调量由130%降低到3%,上升时间提升至11μs。经DFOA寻优所得动态补偿系统,有效抑制传感器谐振频率影响,提升传感器动态响应性能。
        A dynamic compensation method based on improved Fruit-fly optimization algorithm( DFOA) to solve the problem of dynamic error was proposed. By changing the candidate solution generation mechanism and introducing the dynamic adjustment step size strategy,the Fruit-fly optimization algorithm( FOA) was improved. According to the calibration data of shock tube of pressure sensor,the transfer function of compensation system was obtained,and the measured shock wave data were tested. The results show that after compensation,the overshoot is reduced from 130% to 3%,the rising time is increased to 11μs. The dynamic compensation system optimized by DFOA can effectively restrain the influence of the resonant frequency of the sensor and improve the dynamic response performance of the sensor.

引文

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