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Three-DOF (Degree of Freedom) hybrid magnetic bearing mixed kernel function support vector machine displacement detection method

A technology of support vector machine and mixed kernel function, which is applied in the direction of adaptive control, instrumentation, control/regulation system, etc., can solve the problems that the support vector machine is difficult to take into account the global fitting and local fitting, and the prediction accuracy of non-flat functions is not high , to achieve the effect of benefiting engineering practice, simple structure and improving dynamic performance

Inactive Publication Date: 2014-03-12
JIANGSU UNIV
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Problems solved by technology

[0005] Due to the use of a single kernel function, it is difficult for the support vector machine to take into account both global fitting and local fitting, especially for non-flat functions, the prediction accuracy is not high

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  • Three-DOF (Degree of Freedom) hybrid magnetic bearing mixed kernel function support vector machine displacement detection method
  • Three-DOF (Degree of Freedom) hybrid magnetic bearing mixed kernel function support vector machine displacement detection method
  • Three-DOF (Degree of Freedom) hybrid magnetic bearing mixed kernel function support vector machine displacement detection method

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Embodiment Construction

[0020] In the present invention, the magnetic bearing control current is used as the input sample, and the radial and axial displacements are used as the output sample to collect sample data, select a mixed kernel function, optimize the performance parameters of the support vector machine through the particle swarm algorithm, and use the training samples and performance parameters to train the minimum quadratic Multiply the support vector machine to establish a nonlinear prediction model, connect the prediction model in series to the three-degree-of-freedom AC-DC hybrid magnetic bearing, connect it to the linear closed-loop controller, add the extended current hysteresis three-phase power inverter and switching power The amplifiers together form a closed-loop control of the displacement of the magnetic bearing, which realizes the self-detection of the three-degree-of-freedom AC hybrid magnetic bearing without displacement sensors.

[0021] Such as figure 1 , Three-degree-of-fr...

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Abstract

The invention discloses a method for realizing displacement self detection of a three-DOF (Degree of Freedom) AC / DC (Alternating Current / Direct Current) hybrid magnetic bearing by utilizing a displacement prediction model of a hybrid kernel function SVM. The method is characterized in that magnetic bearing control current is used as an input sample, radial and axial displacements are used as output samples, sample data are collected, a hybrid kernel function is selected, performance parameters of an SVM are optimized through a PSO (Particle Swarm Optimization), an LS (Least Squares) SVM is trained by utilizing a training sample and the performance parameters, a non-linear prediction model is established, the prediction model is connected with a linear closed-loop controller before being connected to the three-DOF AC / DC hybrid magnetic bearing in series, magnetic bearing displacement closed-loop control is formed with an extended current hysteresis loop three-phase power inverter and a switch power amplifier, and self detection of a three-DOF AC / DC hybrid magnetic bearing displacement-free sensor is realized.

Description

technical field [0001] The invention is a three-degree-of-freedom AC-DC hybrid magnetic bearing hybrid kernel function support vector machine displacement self-detection method, which belongs to the field of high-speed and ultra-high-speed motor transmission, and has extensive applications in the fields of aerospace, vacuum technology, machinery industry, energy transportation, etc. Application prospects. Background technique [0002] Magnetic bearings use magnetic field force to suspend the rotor in the air without contact, and the suspension position can be controlled by the control system. Compared with traditional bearings, magnetic bearings have many outstanding advantages such as no friction and wear, no lubrication, high speed, high precision, long life, etc. Especially in the spindle system of high-speed machine tools, the support method of the spindle determines the The cutting speed, machining accuracy and application range that the machine tool can achieve, and t...

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Application Information

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IPC IPC(8): G05B13/04
Inventor 朱熀秋金婕鞠金涛李媛媛
Owner JIANGSU UNIV
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