Five-freedom-degree alternating current active magnetic bearing mixed kernel function support vector machine detecting method

Abstract

The invention discloses a method for realizing the five-freedom-degree alternating current active magnetic bearing displacement self detection by utilizing a mixed kernel function support vector machine displacement predicating model. According to the method, magnetic bearing control current is used as an input sample, radial and axial displacement is used as an output sample, the sample data is collected, a mixed kernel function is selected, the performance parameters of the support vector machine are optimized through a particle swarm algorithm, the training sample and the performance parameters are utilized for training the least square support vector machine, and a non-linear predicting model is built. The predicting model is connected with a linear closed loop controller before being connected to a five-freedom-degree alternating current active magnetic bearing in series, the magnetic bearing displacement closed loop control is formed with a first and second expansion current hysteresis three-phase power inverter and a switch power amplifier, the self detection of a five-freedom-degree alternating current active magnetic bearing displacement-free sensor is realized, the cost of a magnetic bearing system is reduced, and the dynamic property of the system is improved.

Description

technical field [0001] The invention is a five-degree-of-freedom AC active magnetic bearing hybrid kernel function support vector machine self-detection method, which belongs to the field of high-speed and ultra-high-speed motor transmission, and has broad application prospects in the fields of aerospace, vacuum technology, machinery industry, energy transportation, etc. . Background technique [0002] Magnetic bearings use magnetic field force to suspend the rotor in the air without contact, and the levitation 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 the application of magnetic bearin...

AI Technical Summary

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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