【摘要】 通过模型参考的系统辨识方法建立传感器的动态补偿器,常用的系统辨识采用均方误差(mean square error, MSE)为评判标准.但是,由于测量噪声存在和补偿器的频率特性,使得补偿器的输入/输出信号存在严重的噪声干扰,采用MSE为评判标准的系统辨识方法,无法得到最优的补偿器的参数.为此,本文研究了一种以误差白化(error whitening criterion,EWC)为评判标准,设计传感器动态补偿器的系统辨识方法.该方法无需事先已知系统的动态特性,根据传感器以及参考模型对输入激励响应的实测数据,以EWC为代价函数,通过优化辨识得到补偿器的参数.最后,通过实验验证了该方法的有效性.更多还原

【Abstract】 The dynamic compensator for a sensor can be modeled with a reference model identified by the MSE(mean square error)criterion.However,only the biased estimates of the parameters can be obtained due to the contamination of high level noises in the output/input signals and the limited frequency response range of the compensator.To tackle this problem,the error whitening criterion(EWC)is proposed by which a dynamic compensator can be designed without knowing the dynamic characteristics of sensor.Based on the step-input responses of the sensor and the reference model, the compensator parameters are estimated by the EWC.Finally,experimental results show that this approach is effective.更多还原