Dynamic filter estimate method of conductivity-order resistance capacitance system parameters
A technology of dynamic filtering and system parameters, applied in the direction of fluid resistance measurement, etc., can solve the problems of uncertain number of iterations, loss of accuracy of multivariate polynomial fitting, weakening the influence of uncertainty, etc.
Inactive Publication Date: 2013-05-15
DALIAN UNIV OF TECH
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Abstract
The invention provides a dynamic filter estimate method of conductivity-order resistance capacitance system parameters, and belongs to the field of solution electrical conductivity soft-sensing technology. The dynamic filter estimate method is characterized in that measurement of the conductivity is converted into parameter estimate of first-order equivalent resistance-capacitance system considering lead distribution capacitor influence. The method particularly includes steps: setting up a parameter state space model on the condition that a resistance-capacitance parameters to be estimated in an hour-segment are constant approximations, adopting sine drive signals in certain frequency to excite a resistance capacitance system, based on sampling signals obtained through high-speed analog/digital (A/D) from the sine drive signals and systematic response signals, starting a Kalman filter constructed according to the parameter state space model, recursively calculating N steps in each hour-segment, namely obtaining estimate values of solution resistors and lead distribution capacitors in each hour-segment. The dynamic filter estimate method has the advantages of being strong in interference resistance, capable of obtaining real-time estimate of the resistance-capacitance parameters in high accuracy, and suitable for industrial online application of conductivity measurement.
Application Domain
Fluid resistance measurements
Technology Topic
Spatial modelSoft sensing +10
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