Dynamic compensation method of multi-input detection system under conditions of cross sensitiveness

Abstract

The invention is applicable to crossed sensitive sensors working at situation, where multiple sensing parameters are time varying dynamic signals so as to realize purpose of expanding frequency band and reducing distortion factor of dynamic measurements. Cascading sensors to be compensated, eliminating static crossed sensitive step for synthesize synthesizing data in multiple inputs and outputs, as well as multidimensional dynamic compensator constitute a multiple sensors system with multiple inputs compensable through method of multidimensional dynamic compensation. The system is a convolution system. Carrying out experiment of multidimensional dynamic calibration for the convolution system, and carrying out deconvolution blindly can obtain initial multidimensional dynamic compensators. Method of lowpass gain modification modifies issues of difficulties for sorting signals and unable to determine amplitudes, and obtains modified multidimensional dynamic compensators.

Description

technical field [0001] The invention relates to the field of measurement and control, in particular to a dynamic compensation method for a multi-input detection system under the condition of cross sensitivity. Background technique [0002] The multi-dimensional cross-sensitivity phenomenon of sensors is a common problem in domestic and foreign products. The actual application environment is usually a variety of interference factors, such as: ambient temperature, power supply, air humidity, etc., exist at the same time, in order to eliminate the influence of some interference parameters on the detection of the measured parameters, such as the temperature on the metal oxide semiconductor gas sensor The impact of gas concentration detection, usually using multi-sensor information fusion technology; dynamic compensation is another important research content of the sensor. The measured signal generally has a certain bandwidth, and some measured signals have a wide bandwidth, suc...

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Problems solved by technology

Obviously, in a detection system with cross-sensitivity, ignoring other interference factors, such as ambient temperature, etc., it is impossible to obtain better dynamic detection results on the dynamic detection of the measured parameters.

For example, temperature drift is a common problem in many sensors at home and abroad. If only a certain measured parameter of the sensor is dynamically compensated, and the dynamic compensation of temperature is ignored, then when the ambient temperature of the sensor changes drastically, Due to cross-sensitivity, the dynamic detection distortion of the sensor may be very large

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