Three-degree-of-freedom hybrid magnetic bearing rotor displacement self-detection method

Abstract

The invention discloses a three-degree-of-freedom hybrid magnetic bearing rotor displacement self-detection method. The invention belongs to the field of high-speed and ultra-high-speed motor transmission. The invention relates to a method for realizing three-degree-of-freedom alternating-current and direct-current hybrid magnetic bearing displacement self-detection by utilizing a hybrid kernel function support vector machine displacement prediction model. A magnetic bearing control current is used as an input sample; radial and axial displacements are output samples; sample data are collected, hybrid kernel functions are selected, performance parameters of the support vector machine are optimized through a particle swarm algorithm; a least square support vector machine is trained by utilizing the training sample and the performance parameters; a nonlinear prediction model is established, the prediction model is connected in front of a three-degree-of-freedom alternating-current and direct-current hybrid magnetic bearing in series and connected with a linear closed-loop controller, an expanded current hysteresis three-phase power inverter and a switch power amplifier jointly form magnetic bearing displacement closed-loop control, and displacement-sensor-free self-detection of the three-degree-of-freedom alternating-current hybrid magnetic bearing is achieved.

Description

technical field [0001] The invention belongs to the field of high-speed and ultra-high-speed motor transmission, specifically a three-degree-of-freedom hybrid magnetic bearing rotor displacement self-detection method, which has broad application prospects in aerospace, vacuum technology, machinery industry, energy transportation and other fields. 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 the application of magnetic bearings to the support of the hig...

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Problems solved by technology

[0005] In order to solve the problems of over-learning in the particle swarm algorithm, easy to fall into local optimum and slow convergence speed, the present invention proposes a three-degree-of-freedom hybrid magnetic bearing rotor displacement self-detection method, which is used in the displacement prediction model of the hybrid kernel function support vector machine Particle swarm optimization algorithm

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