High speed active gas/odor sensing system using adaptive control theory
High speed active gas/odor sensing system using adaptive control theory
复制标题
采用自适应控制理论的高速主动气体/气味传感系统
DOI：
10.1016/s0925-4005(97)80293-6
复制
发表时间：
1997
影响因子：
8.4
通讯作者：
T. Mornzumi
中科院分区：
文献类型：
--
作者：
T. Nakamoto;N. Okazaki;T. Mornzumi
先前提出了一种使用内部混合器的主动气体/气味传感系统来测量香气的混合物组成。在该系统中，混合器出口的混合物成分使用优化算法反复调整，以使混合蒸汽的传感器阵列输出模式与测试蒸汽的模式相匹配。该系统是高度灵活的，即使传感器具有非线性和附加属性是无效的，也可以使用。由于蒸汽和空气被重复地供应到传感器阵列，因此先前的测量是冗长的。在此，采用自适应反馈控制理论连续改变混合器中各组分蒸汽的浓度，从而可以减少测量时间。自适应控制理论引入后，测量速度大大提高。使用这种方法，两种组分和三种组分的蒸汽的定量结果，成功地获得在至少2分钟内，而在以前的方法需要超过40分钟。
An active gas/odor sensing system using an internal blender was previously proposed to measure the mixture composition of an aroma. In the system, the mixture composition of the blender outlet was repeatedly adjusted using an optimization algorithm to match the sensor array output pattern of blended vapor to that of a test vapor. The system is highly flexible and can be used even when sensors have nonlinearities and the additive property is not valid. Since vapor and air were repeatedly supplied to the sensor array, the previous measurement was lengthy. Here, the concentration of each component vapor in the blender is continuously changed using adaptive feedback control theory so that the measurement time can be reduced. After the introduction of adaptive control theory, the measurement was drastically speeded up. Using this approach, the quantification results of both two-component and three-component vapors were successfully obtained within at least 2 min, whereas more than 40 min was required in the previous method.