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基于逆模型辨识的Wiener型传感器动态补偿研究
引用本文:陈战平. 基于逆模型辨识的Wiener型传感器动态补偿研究[J]. 传感器与微系统, 2011, 30(9): 5-8
作者姓名:陈战平
作者单位:南京师范大学计算机科学与技术学院,江苏南京,210042
摘    要:在测量系统中许多传感器动态特性是一个非线性Wiener模型,即存在着严重的静态非线性和动态响应滞后.为了补偿动态误差,采用模型参考和Wiener逆模型辨识的算法建立动态补偿单元.补偿单元由一个静态逆模型和动态逆模型构成.通过静态标定方法,采用单输入/单输出的模糊小脑神经网络(SISO-FCMAC)建立传感器静态非线性模...

关 键 词:传感器  非线性  动态误差  逆模型  补偿

Study on dynamic compensation of Wiener sensor based on inverse model identification
CHEN Zhan-ping. Study on dynamic compensation of Wiener sensor based on inverse model identification[J]. Transducer and Microsystem Technology, 2011, 30(9): 5-8
Authors:CHEN Zhan-ping
Affiliation:CHEN Zhan-ping(School of Computer Science and Technology,Nanjing Normal University,Nanjing 210042,China)
Abstract:In measurement systems,many sensors’ dynamics charactenstic is a nonlinear Wiener model,and have serious static nonlinear and dynamic response hysteresis.In order to compensate the error,a novel algorithm uses model reference and Wiener inversion model identification,is proposed for compensator modeling.The compensator consists of static inverse model and dynamic inverse model.The static nonlinear model of the sensor is built on a single-input-single-output fuzzy cerebllar model articulation controller(SISO-FCMAC),and the static inverse model is established by inverse operation of SISO-FCMAC.The dynanmic inverse model is a IIR filter,and its coefficient is obtained through the system identification based on model reference.The algorithm has characteristics of simple study,quick convergence and high precision of function approximation,etc.Experiments show that the algorithm is effective.
Keywords:sensor  nonlinear  dynamic error  inverse model  compensation
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