Wenzhou University

Quanguo Lu

Dingfang Chen

Liang Shu

Bo Li

Yeheng Zhang

Marcelo J Dapino

Menglun Tao

Yanchao Zhu

A matching control method for mechanical impedance of a magnetostrictive precision transducer includes developing a three-layer neural network model corresponding to a Young's modulus of a Terfenol-D material; acquiring sample data to form a training sample set and a testing sample set; training the model using a Bayesian regularization training algorithm, and optimizing connection weights and thresholds among layers of the tested model, so as to obtain a final three-layer neural network model; based on the final model, building an inverse model of mechanical impedance of the magnetostrictive precision transducer; using a current level of impedance of a load as an input of the inverse model to obtain a bias magnetic field, and changing a level of the bias magnetic field by changing a bias current in an excitation coil of the transducer, thereby achieving adaptive matching between the mechanical impedance of the transducer and the impedance of the load.

Matching control method for mechanical impedance of magnetostrictive precision transducer

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Wenzhou, China

Quanguo Lu