改进型果蝇算法在压力传感器动态补偿的应用  

Application of Improved Fruit-Fly Optimization Algorithm in Dynamic Compensation of Pressure Sensors

作　　者：高杨 韩太林[1] 王磊 张永立[1] GAO Yang;HAN Tailin;WANG Lei;ZHANG Yongli(College of Electronic and Information Engineering, Changchun University of Science and Technology,Changchun 130022, China;The No.63850 th Troop of PLA, Baicheng 137000, China)

机构地区：[1]长春理工大学电子信息工程学院,长春130022 [2]中国人民解放军63850部队,吉林白城137000

出　　处：《兵器装备工程学报》2019年第6期119-124,共6页Journal of Ordnance Equipment Engineering

基　　金：总装备部装运局科研项目(2013年)

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.

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 

分 类 号：TJ301[兵器科学与技术—火炮、自动武器与弹药工程] TP212.6[自动化与计算机技术—检测技术与自动化装置]