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>One-stage identification algorithm and two-step compensation method of Hammerstein model with application to wrist force sensor
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One-stage identification algorithm and two-step compensation method of Hammerstein model with application to wrist force sensor
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机译:One-stage identification algorithm and two-step compensation method of Hammerstein model with application to wrist force sensor
There is nonlinearity in the dynamic characteristics of sensors under some conditions. Previous researchers have presented the nonlinear dynamic models of sensors only using a block, which make it difficult to compensate the nonlinear dynamic responses of sensors. In this article a Hammerstein model is adopted to describe the nonlinear dynamic models of sensors, and a one-stage identification algorithm is proposed to simplify the calculation. On this basis a two-step compensation method is presented for the nonlinear dynamic responses of sensors. The one-stage identification algorithm has advantages as follows: (1) One-stage identification simplifies the algorithm; (2) it depends only on the data of input and output of the system, and does not need to introduce auxiliary variables that could not be measured in practice; (3) it only needs dynamic calibration experimental data of systems, and does not need to do static calibration experiments. The simulation results and its application in the wrist force sensor show the methods proposed by this article are effective.
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