Abstract
A soft-sensing scheme for electrical conductivity is proposed by using the sine wave amplitude-phase characteristic parameters as secondary variable. The system adopts sine wave to excite conductivity cell and wages multi-sampling for the response signal. The nonlinear least squares method is adopted to wage optimization calculation for system model, which can obtain system amplitude-phase characteristic parameters and inhibit the measurement interference at the same time. By utilizing the equivalent model of conductivity cell, we derived the functional relation between resistance-capacitance (RC) parameters and the amplitude-phase characteristics, thus the RC parameters decoupling value can be obtained and the conductivity can be calculated. We also designed automatic temperature compensation and intelligent shift function, which further improve the system precision and practicality. The scheme could have a certain measurement accuracy, measurement speed and anti-interference ability, which can meet the requirement of industrial online real-time measurement for electrical conductivity.
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