温度检测系统的非线性动态补偿研究

Research on Temperature Measurement Using Nonlinear Dynamic Compensation

在温度测控系统中,对于温度传感器在测量时存在较大非线性动态偏移误差,提出基于参考模型的利用扩展卡尔曼滤波算法设计温度传感器的动态补偿的方法。用扩展卡尔曼滤波进行补偿器的参数辨识,从而得到比较精确的补偿器,因此温度传感器的动态偏移误差得到自动补偿。本文所设计的系统可以对温度进行有效的控制,且具有一定的鲁棒性和较好的响应速度。

In the temperature measurement and control system, there is a big nonlinear dynamic＂ offset errors for temperature sensors measuring. The method of use extended Kalman filtering algorithm based on reference model is proposed for dynamic compensation of the temperature sensors. Using the extended Kahnan filter for dynamic compensation of the parameter identification, resulting in more precise compensation, so offset errors on the temperature sensors are auto matically compensated. The system designed by the authors of this paper may get effective temperature control, moreover, get some robustness and better speed response.