Study on dynamic compensation of Wiener sensor based on inverse model identification
Zhanping Chen · Transducer and Microsystem Technologies · 2011
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.