Finite-control-set model predictive current control method of five-phase permanent-magnet synchronous motor

A permanent magnet synchronous motor, finite set model technology, applied in motor generator control, electronic commutation motor control, control system and other directions, can solve the problem that the calculation time cannot be too long, the motor steady-state torque ripple is large, and the voltage vector Single amplitude and other problems, to achieve the effect of easy digital implementation, good robustness and fast response speed

Active Publication Date: 2017-03-15
SOUTHWEST JIAOTONG UNIV
View PDF5 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The MPCC-11 algorithm only needs to repeatedly calculate 11 voltage vectors, but the magnitude of the voltage vector is single and the largest, which will cause large steady-state torque fluctuations of the motor, while the MPCC-21 and MPCC-31 algorithms can improve the steady-state of the motor performance, but it is necessary to perform repeated calculations on 21 and 31 voltage vectors respectively, the amount of calculation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Finite-control-set model predictive current control method of five-phase permanent-magnet synchronous motor
  • Finite-control-set model predictive current control method of five-phase permanent-magnet synchronous motor
  • Finite-control-set model predictive current control method of five-phase permanent-magnet synchronous motor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] The method of the invention can completely eliminate the low-order harmonics of the stator current of the five-phase motor under the condition of significantly reducing the calculation amount of the existing FCS-MPCC algorithm, reduce copper consumption and enable the motor to have superior steady-state performance. Specifically include the following steps:

[0044] First, the five-phase motor system contains four degrees of freedom and zero-sequence components. In the normal running state of the motor, the symmetrical physical quantities (voltage, current, flux linkage, etc.) in the natural coordinate system are respectively mapped to two orthogonal coordinate systems d1-q1 and d3-q3 according to the extended Parker rotation transformation formula. The space vectors of two-level five-phase voltage source inverters are classif...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a finite-control-set model predictive current control method of a five-phase permanent-magnet synchronous motor. The finite-control-set model predictive current control method comprises the steps of respectively mapping a voltage, a current and magnetic flux of the five-phase permanent-magnet synchronous motor under a natural coordinate system to two orthogonal rotating coordinate systems of d1-q1 and d3-q3 according to extended Park rotation transform; constructing an input voltage vector control set which is used in an FCS-MPCC (Finite-Control-Set Model Predictive Current Control) algorithm again; solving amplitude of U<'> of the (d1-q1) coordinate system and an acting time allocation proportion of two basic voltage vectors required for forming a virtual vector; constructing a target function in the FCS-MPCC algorithm of the five-phase permanent-magnet synchronous motor; selecting the virtual voltage vector which enables the target function to be minimum as control output quantity; and performing steps of pulse sequence generation and design on the virtual voltage vector. By the finite-control-set model predictive current control method, a low-order harmonic component of a five-phase motor current caused by a harmonic (d3-q3) space is eliminated, the algorithm is enabled not to require excessive calculation quantity, a digital processor is liable to implement, the difficulty of program design is reduced, and the running power consumption of a digital chip is reduced.

Description

technical field [0001] The invention relates to the field of design and manufacture of a multi-phase motor AC control system (including a five-phase inverter and a five-phase permanent magnet synchronous motor) in the field of power electronics and electric transmission, especially a finite set model prediction of a five-phase permanent magnet synchronous motor current control method. Background technique [0002] The rapid development of microelectronics technology and power electronics technology has laid the foundation for the motor control system to get rid of the traditional three-phase topology limitation. The advantages of replacing the traditional three-phase with a multi-phase AC speed control system mainly lie in: 1) the frequency of the electromagnetic torque ripple is increased, the amplitude of the ripple is reduced, and the vibration and noise of the motor are reduced; 2) the current stress of the single switching device Small size, large inverter capacity, go...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H02P21/22H02P21/24
Inventor 宋文胜薛诚冯晓云
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products