Self-adaptive inverse vibration isolation control method for super-magnetostrictive vibration isolation platform

Abstract

The invention discloses a self-adaptive inverse vibration isolation control method for a super-magnetostrictive vibration isolation platform. The self-adaptive inverse vibration isolation control method comprises the following steps that S1, a Filtered-epsilon LMS self-adaptive inverse controller is adopted to control a super-magnetostrictive actuator to output isolation vibration. The method utilizes a nonlinear adaptive filter and adopts the self-adaptive inverse controller adopting Filtered-epsilon LMS algorithm structure design, the size of vibration signals of the super-magnetostrictive actuator is estimated, then the Filtered-epsilon LMS self-adaptive inverse controller is adopted to control the super-magnetostrictive actuator to output isolation vibration, and accordingly the vibration isolation control precision and stability of the super-magnetostrictive vibration isolation platform are improved.

Description

technical field [0001] The invention relates to an adaptive inverse vibration isolation control method for a giant magnetostrictive vibration isolation platform, which belongs to the field of dynamic hysteresis nonlinear system modeling and control. Background technique [0002] Vibration control refers to isolating the vibration of the controlled object through certain technical methods to meet certain engineering requirements. Vibration control is divided into active control and passive control according to whether external input is used in the control process. Among them, passive control is a relatively mature vibration passive control method developed today. It mainly reduces the vibration of the structure by changing the stiffness, damping and mass distribution of the object structure in the system, or changing the transmission path of the external load. response. Active control refers to the use of external energy to exert control force or change the dynamic characte...

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Problems solved by technology

But this method also needs to first compensate the nonlinear part, and then design the linear controller, the whole design process is very complicated

[0013] In addition, the above-mentioned traditional control algorithms such as PID, robustness, etc. are all aimed at controlling linear systems or weakly nonlinear systems, and need to know the accurate mathematical model of the system, which requires relatively high requirements for the model.

However, when performing active vibration control on intelligent actuators with dynamic hysteresis and nonlinear characteristics, the above-mentioned algorithms are often used in real-time control due to problems such as model errors or large calculations.

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