气体浓度测量中的电化学传感器动态特性补偿

Dynamic Characteristic Compensation of Electrochemical Sensor in Gas Concentration Measurement

针对电化学气体传感器的动态响应延迟问题,设计了一种电化学气体传感器的动态特性测量装置,研究了气体传感器动态特性补偿及应用。为减小电化学气体传感器的动态响应时间,提出了用粒子群优化(PSO)算法对电化学气体传感器逆建模的动态补偿法,获得动态补偿滤波器模型,对电化学气体传感器的响应-恢复时间进行补偿。将补偿方法应用于研制的存储式气体浓度测试系统,测试结果表明该方法有效地改善了传感器的动态响应特性,并在响应时间上提高了3.6倍,恢复时间提高了2.8倍,具有可移植性强、易于实现的特点。

Aiming at the problem of dynamic response delay of electrochemical gas sensor,a dynamic characteristic measurement device of electrochemical gas sensor was designed,and the dynamic characteristic compensation and application of gas sensor was studied.In order to reduce the dynamic response time of the electrochemical gas sensor,a dynamic compensation method using particle swarm optimization(PSO)algorithm to inverse modeling of the electrochemical gas sensor was proposed,and a dynamic compensation filter model was obtained to compensate the response-recovery time of the electrochemical gas sensor.The compensation method is applied to the developed storage gas concentration test system.The test results show that the method can effectively improve the dynamic response characteristics of the sensor,and improve the response time by 3.6 times and the recovery time by 2.8 times.It has the characteristics of strong portability and easy implementation.