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Five-bridge-arm double-rotor primary permanent magnet linear motor model prediction current control method based on double-layer positioning

A permanent magnet linear motor, model prediction technology, applied in motor generator control, AC motor control, electronic commutation motor control and other directions, can solve problems such as excessive calculation

Active Publication Date: 2020-03-31
SOUTHEAST UNIV
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Problems solved by technology

[0003] Purpose of the invention: Aiming at the problem that the amount of calculation is too large in the process of predicting the current control of the traditional five-arm dual mover primary permanent magnet linear motor model, the present invention proposes a five-bridge dual mover primary permanent magnet based on double-layer positioning Model Predictive Current Control Method for Linear Motor

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  • Five-bridge-arm double-rotor primary permanent magnet linear motor model prediction current control method based on double-layer positioning
  • Five-bridge-arm double-rotor primary permanent magnet linear motor model prediction current control method based on double-layer positioning
  • Five-bridge-arm double-rotor primary permanent magnet linear motor model prediction current control method based on double-layer positioning

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Embodiment 1

[0063] refer to figure 1 , the present embodiment provides a five-arm double mover primary permanent magnet linear motor model predictive current control method based on double-layer positioning, and the five-bridge double mover primary permanent magnet linear motor model based on double-layer positioning includes: Double mover primary permanent magnet linear motor, signal sampling and control unit, and five-phase voltage source inverter. The output end of the double mover primary permanent magnet linear motor is electrically connected to the input end of the signal sampling and control unit, and the signal sampling The output terminal of the control unit is electrically connected to the input terminal of the five-phase voltage source inverter, and the output terminal of the five-phase voltage source inverter is electrically connected to the input terminal of the double mover primary permanent magnet linear motor and the signal sampling and input to the control unit. At the s...

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Abstract

The invention discloses a five-bridge-arm double-rotor primary permanent magnet linear motor model prediction current control method based on double-layer positioning. The method comprises the following steps: S1, sampling DC bus voltage, AB phase current, rotor operation speed and rotor angle of two rotors; S2, calculating reference voltage vectors of the two rotors under an alpha-beta coordinatesystem; S3, projecting the reference voltage vector into a fixed global optimal space voltage vector distribution diagram, carrying out motor layer positioning, and selecting a corresponding global optimal control vector; S4, dividing all combinations of the global optimal control vector into three conditions; S5, determining an inverter control signal according to the type of the global optimalcontrol vector; S6, inputting the control signal into the inverter, and driving the double-rotor primary permanent magnet linear motor to operate. The control effect identical to that of traditional model prediction current control can be obtained on the basis of remarkably reducing the prediction current control calculation amount of the five-bridge-arm double-rotor primary permanent magnet linear motor model.

Description

technical field [0001] The invention relates to the technical field of motor drive and control, in particular to a model predictive current control method for a primary permanent magnet linear motor with five bridge arms and double movers based on double-layer positioning. Background technique [0002] Compared with the traditional three-phase inverter control system, the five-leg double mover primary permanent magnet linear motor drive system based on model predictive current control can reduce one-phase bridge arm, thereby reducing the system cost. However, the biggest weakness of model predictive current control is that the calculation amount of the system will increase geometrically with the increase of the system state quantity, which will affect the application range of model predictive current control. Contents of the invention [0003] Purpose of the invention: Aiming at the problem that the amount of calculation is too large in the process of predicting the curren...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/22H02P25/06
CPCH02P25/06H02P21/22
Inventor 王伟卢志祥程明
Owner SOUTHEAST UNIV