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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℃。
There is an increasing demand for high-precision temperature measurement in many industrial control and defense fields. The stability of the temperature measurement system is a prerequisite for achieving high precision. A high temperature measurement system based on standard Kalman filter is designed and implemented. By properly configuring the hardware and optimizing the design software algorithm, the noise in the signal transmission is effectively removed and the detailed hardware and software design is given . The system chooses MSC company’s high performance embedded processor of TI Company to build the hardware platform for the kernel, and uses the standard four-wire platinum resistance to realize the temperature signal acquisition. In the software filtering algorithm, using the standard Kalman filter unbiased and estimating the mean square error The characteristics of the temperature signal to complete the optimal estimation and filtering. The results show that the temperature measurement system can reach ± 0.02 ℃ within ± 80 ℃ temperature range.