Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Permanent-magnetism motor current predication control method based on zero-order holding discrete model

A permanent magnet motor and zero-order holding technology, which is applied in the direction of motor generator control, electronic commutation motor control, electromechanical brake control, etc., can solve the problems of large error of Euler discretization model and deterioration of dynamic performance of electric drive system , to achieve the effect of clear design theory, overcome the deterioration of dynamic performance, and improve the dynamic performance of the system

Active Publication Date: 2018-08-24
TIANJIN UNIV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the sampling frequency is low, the error of the Euler discretization model is large, which leads to the coupling of the dq axis current in the two-phase synchronous rotating coordinate system in the dynamic process of predictive control, and the dynamic performance of the electric drive system deteriorates

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
  • Permanent-magnetism motor current predication control method based on zero-order holding discrete model
  • Permanent-magnetism motor current predication control method based on zero-order holding discrete model
  • Permanent-magnetism motor current predication control method based on zero-order holding discrete model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] The embodiment of the present invention aims at the inherent defect of the current predictive control strategy of the permanent magnet motor based on the Euler discretization model, which has poor dynamic response characteristics when the sampling frequency is low, and establishes a zero-order hold model of the permanent magnet motor based on the compound vector. The maintenance method discretizes the continuous model of the motor, and designs a discretized model predictive controller and an extended state observer, see figure 1 with figure 2 , the method includes the following steps:

[0034] 101: Use the step response invariant method to discretize the continuous model of the permanent magnet motor, obtain the discretized model, introduce the calculation time delay to optimize the discretized model, and establish a zero-order hold discretized model;

[0035] The step 101 specifically includes: constructing a continuous model of the permanent magnet motor based on th...

Embodiment 2

[0047] The following is combined with specific calculation formulas, examples, figure 1 with figure 2 The scheme in Example 1 is further introduced, see the following description for details:

[0048]201: According to the step response invariance method, discretize the continuous state equation of the surface-mounted permanent magnet synchronous motor in the synchronous rotating coordinate system, and obtain the zero-order hold discretization model of the permanent magnet motor;

[0049] Taking the surface-mounted permanent magnet synchronous motor as an example for analysis, the stator current is selected as the state variable, and the continuous state equation of the surface-mounted permanent magnet synchronous motor in the synchronous rotating coordinate system is:

[0050]

[0051] In the formula, i s = i d +ji q , u s = u d +ju q are stator current vector and stator voltage vector respectively; i d i q , u d and u q is the composite vector component, i d a...

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 permanent-magnetism motor current predication control method based on a zero-order holding discrete model. The method comprises the following steps that on the basis of the zero-order holding discrete model of a permanent-magnetism motor, a time delay item as well as a disturbance item is introduced and calculated, and a permanent-magnetism motor time delay model and a permanent-magnetism motor disturbance model are obtained; on the basis of the permanent-magnetism motor disturbance model, an expansion state observer is designed in a state space method; the current change rate and the current change amount caused by a voltage vector are obtained according to the expansion state observer, a control law is obtained according to the current change rate, the current change amount and the voltage vector, and a controller is further obtained; and according to the permanent-magnetism motor time delay model and the controller, a state equation of an electric tractionclosed-loop system when the observer is not taken into consideration is calculated, and a feedback coefficient of the observer is designed. According to the invention, the discrete current predictioncontroller and observer are designed via the state space method, and a current control performance of the permanent magnetism motor is improved.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a current predictive control method of a permanent magnet motor based on a zero-order hold discretization model. Background technique [0002] The ever-increasing application requirements put forward higher requirements for the permanent magnet motor control technology, requiring it to have excellent dynamic and static response characteristics and strong robustness under complex working conditions. Different from traditional vector control, model predictive control seeks the optimal control quantity in each sampling period, and has a good application prospect in the field of permanent magnet motor current control. Model predictive control is based on the mathematical model of the motor and inverter, combined with the current given value and the actual current sampling value at the current moment, and calculates the optimal control quantity according to the cost function and...

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): H02P21/22H02P21/13
CPCH02P21/13H02P21/22
Inventor 宋战锋周凤娇夏长亮
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products