Construction method for AC (alternating current) electromagnetic levitation spindle controller

Abstract

The invention discloses a construction method for an FNN (fuzzy neural network) inverse controller of an AC (alternating current) electromagnetic levitation spindle based on rough set theory, comprising the steps as follows: taking a second derivative of a composite controlled object expected to output as input of an FNN inverse system based on the rough set theory, determining a basic structure of the FNN inverse system based on the rough set theory, selecting static experimental data, training offline the FNN based on the rough set theory to implement inverse of a composite controlled object model, constructing the FNN inverse system based on the rough set theory, constructing an inverse system of the composite controlled object by adopting an FNN inverse method based on the rough set theory, and coupling an AC electromagnetic levitation spindle system which is a nonlinear, strongly coupled multi-input multi-output system into a pseudo linear system. According to the construction method, independent control among 5 DOF (degree of freedom) offset variables of the AC electromagnetic levitation spindle can be implemented; meanwhile, better control performance and load disturbance resistance capacity can be acquired.

Description

technical field [0001] The invention belongs to the technical field of electric transmission control equipment and mechanical lubrication and sealing, and in particular relates to a construction method of a decoupling controller of a magnetic levitation electric spindle. Background technique [0002] Ultra-precision machining has become one of the key technologies. The primary condition for realizing ultra-precision machining is ultra-precision CNC machine tools. The core factor affecting the accuracy of ultra-precision machine tools is the rotation accuracy of the spindle, and the spindle must achieve extremely high rotation accuracy, stable rotation and No vibration, the key lies in the structure of the precision spindle used and the design of the controller of the spindle. [0003] The AC magnetic levitation electric spindle system is a multi-variable and multi-coupled complex nonlinear system integrating multi-disciplinary fields. In order to realize the high-performance...

AI Technical Summary

Problems solved by technology

But the disadvantage is that the initial fuzzy rules are randomly combined on the basis of fuzzy division of each dimensional input variable, and the characteristics of the sample data are not fully utilized.

In addition, the number of rules of such a system grows exponentially with the input dimension, which belongs to the combinatorial explosion problem

Moreover, when the dimension of the input data is too large, the structure of the fuzzy neural network will be quite large, which will seriously affect the calculation speed and results. Disadvantages such as slow speed and weak generalization ability

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