Support vector machine inverse-based bearingless asynchronous motor control system

Abstract

The invention relates to a support vector machine inverse-based bearingless asynchronous motor control system. According to the system, two Park<-1> conversions, two Clark <-1> conversions, two current hysteresis PWM (Pulse Width Modulation) inverters and a bearingless asynchronous motor form a composite controlled object; and the support vector machine inverse of the composite controlled object is created by the support vector machines and integrators through least squares offline learning; the support vector machine inverse and the composite controlled object are connected in series to form a pseudo-linear system which is formed by two linear radial displacement subsystems, a speed subsystem and a magnetic linkage subsystem and is subjected to closed-loop compound control in a multi-internal-model switching manner. The control system provided by the invention can identify real-time equivalent models of the controlled object at improved dynamic response speed and steady state control accuracy, has high robustness against external disturbance and motor parameter variation, and can realize the high-performance dynamic decoupling control of all controlled variables of the bearingless asynchronous motor.

Description

technical field [0001] The invention relates to a bearingless asynchronous motor control system based on the inverse of a support vector machine, which is suitable for high-performance decoupling control of the bearingless asynchronous motor. Bearingless asynchronous motors have broad application prospects in high-speed electric spindles of machine tools, flywheel energy storage, turbomolecular pumps, aerospace vehicles and other fields, and belong to the technical field of electric drive control equipment. Background technique [0002] The existence of two sets of windings (torque control winding and suspension control winding) of the bearingless asynchronous motor determines that there is a complex coupling relationship inside the motor. To achieve stable suspension and operation of the rotor of a bearingless asynchronous motor, dynamic decoupling control must be performed on the electromagnetic torque and radial suspension force in the motor. [0003] At present, the con...

AI Technical Summary

Problems solved by technology

Among them, the directional control based on the magnetic field of the torque control winding (including the rotor magnetic field, the stator magnetic field, and the air gap magnetic field) is actually a non-global decoupling method. When the chain amplitude is large, the decoupling condition will be destroyed, and it is difficult for the system to obtain excellent dynamic performance; in order to improve the dynamic response performance of the bearingless asynchronous motor, differential geometric control and inverse system control are also used in the control of bearingless asynchronous motors , Differential geometric control requires abstract geometric knowledge, complex calculations, difficult to master, and difficult to apply in actual engineering; inverse system control is an accurate feedback linearization control theory proposed for nonlinear systems, which can theoretically realize bearingless asynchronous motors The dynamic decoupling control of , but the realization of its decoupling linearization requires the accurate mathematical model of the controlled object

Although the neural network inverse decoupling control can realize the dynamic decoupling of the system when the analytical inverse is difficult to obtain, it has defects such as slow learning speed and difficult optimization of the network structure. At the same time, it has high requirements for the operation speed of the data processor.

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