Improving sensor''s dynamic characteristics by nonlinear inverse filtering of CMAC
基于CMAC的非线性逆滤波改善传感器的动态特性

The sensors have serious static nonlinear characteristics and slow dynamic responses.When the rate of change of the measured object is higher than that of the response of the sensor,there is an error in the measured value.In order to improve the sensor's dynamic characteristics,a nonlinear inverse filter is employed.It is composed of an infinite impulse response(IIR) filter and a static nonlinear block.The coefficient of IIR filter is obtained via experiment.The static nonlinear block is a kind of Cerebral Model Articulation Controller with Single-Input-Single-Output(SISO CMAC).SISO CMAC has characteristics of simple learning,fast convergence and high accuracy in function approximation.The method is proved to be effective by the experimental results that the temperature is measured by thermistor.