Parameter identification device and method for nonlinearity hysteresis model of giant magnetostrictive actuator

Abstract

The invention discloses a parameter identification device and method for a nonlinearity hysteresis model of a giant magnetostrictive actuator. The method comprises the following steps: respectively converting a 4-20mA current signal output by a displacement sensor and a current signal output by a power supply into 0-3.3V voltage signals through a current / voltage module; synchronously transmitting the two voltage signals output by the current / voltage module through a signal line to a DSP processor through an ADC module; performing parameter identification on the hysteresis model by the DSP processor by means of a particle swarm and manual fish school mixed identification algorithm according to the tested signals, and correcting the parameters of the model while continuously acquiring measurement data; and repeating the process till the identified parameters meet the demand. By synchronously collecting the input current valve and the output displacement value of the giant magnetostrictive actuator by means of the ADC module and identifying the parameters of the hysteresis model based on the DSP processor and the particle swarm and manual fish school mixed identification algorithm, the precision of outputting the displacement model is increased, and error compensation control is facilitated.

Description

technical field [0001] The present invention relates to the field of signal processing, specifically, it is a real-time parameter identification technology of a hysteresis nonlinear model of a giant magnetostrictive drive, which is suitable for relevant parameters of digital signals and parameters of a hysteresis nonlinear model of a giant magnetostrictive drive For identification, it can be used for control devices, such as automation, precision machinery, etc. Background technique [0002] Giant Magnetostrictive Actuator (GMA for short) is one of the main application devices of giant magnetostrictive materials. It has excellent performances such as fast response speed, high energy conversion efficiency, and large output load. And precision positioning and other fields have a wide range of application value, but because giant magnetostrictive materials have hysteresis nonlinear characteristics of ferromagnetic functional material saturation, there is hysteresis between the ...

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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention discloses a parameter identification device and method for a hysteresis nonlinear model of a giant magnetostrictive drive, which can solve the problem of using the current Jiles-Atherton model to establish a hysteresis nonlinear model parameter of a giant magnetostrictive drive. The problem of low identification efficiency and low accuracy

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