基于卡尔曼滤波的高稳定度测温系统设计

诸多工业控制和国防领域中高精度测温的需求日益广泛,测温系统的稳定度是实现高精度的先决条件。设计和实现了一种基于标准卡尔曼滤波实现高稳定度测温系统,通过合理配置硬件和优化设计软件算法,有效地去除了信号传输过程中的噪声,并给出了详细的软硬件设计方案。系统选用TI公司MSC系列高性能嵌入式处理器为内核构建硬件平台,使用标准四线制铂电阻实现温度信号采集;在软件滤波算法中,利用标准卡尔曼滤波器无偏和估计均方误差最小的特点,完成对温度信号的最优估计和滤波。结果表明,测温系统在±80℃测温范围内稳定度能达到±0.02℃。

Design of high-stability temperature measurement system based on Kalman

According to the increasing requirements of high precision temperature measurement in more and more industrial application,the precondition of high precision is stability in temperature measuring system. A temperature measuring system with high stability is designed and developed based on standard Kalman filter. Noise caused by signal transmission is reduced sharply by using the method of rational hardware configuration and optimization software design especially Kalman algorithmsn,and also the detailed scheme for hardware design and software algorithms is presented. In addition,a compact input detection hardware platform is designed using MSC family of embedded processor, with high performance, as the core to process temperature signal by the method of 4-Wire RTD. Kalman filter maintains linear unbiased and minimum error variance estimation for unknown signals, which has played a good role in denoising system. Experiment results show that the stability can reach zk0.02℃ at --80℃ to 80℃. So the method given in this paper is realizable in industrial application.