本文介绍了卡尔曼滤波分光光度法在多组份分析中的基本原理和方法。以复方扑热息痛片中扑热息痛、阿司匹林和咖啡因的测定为例说明了实验方法,给出了卡尔曼滤波算法的框图,在紫金—Ⅱ微机上运行得出结果。扑热息痛、阿司匹林和咖啡因的平均回收率分别为99.37±0.50％,100.5±0.79％和99.17±1.67％(95％置信率)。理论和实验结果表明,卡尔曼滤波算法为多组份分析提供了一种新的实验测定方法。 This article describes the Kalman filter spectrophotometry in the multi-component analysis of the basic principles and methods. Taking acetaminophen, aspirin and caffeine in Compound Paracetamol tablets as an example to illustrate the experimental method, a block diagram of the Kalman filter algorithm is given, and the result is run on the Zijin-Ⅱ microcomputer. The average recoveries of paracetamol, aspirin and caffeine were 99.37 ± 0.50%, 100.5 ± 0.79% and 99.17 ± 1.67%, respectively (95% confidence). Theoretical and experimental results show that the Kalman filter algorithm provides a new experimental method for multi-component analysis.