Permanent magnet synchronous motor model prediction control method

A permanent magnet synchronous motor, model predictive control technology, applied in motor generator control, electronic commutation motor control, control system and other directions, can solve problems such as inability to handle, achieve improved performance, accurate voltage vector, reduce motor Effect of torque ripple

Active Publication Date: 2016-07-20
HUAZHONG UNIV OF SCI & TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the voltage vector generated by the vector control algorithm is more accurate, the performance of controlling the motor is better than that of the model predictive control algorithm, but it is not as simple and flexible as the model predictive control algorithm, and cannot handle control problems with some constraints

Method used

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  • Permanent magnet synchronous motor model prediction control method
  • Permanent magnet synchronous motor model prediction control method
  • Permanent magnet synchronous motor model prediction control method

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0033] 1. Establish the mathematical model of permanent magnet synchronous motor

[0034] In the following, variables with a subscript (k) indicate the value of the variable at time k, and a superscript * indicates a reference value.

[0035] The mathematical equation of the permanent magnet synchronous motor in the αβ coordinate system is as follows:

[0036] ...

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Abstract

The invention discloses a permanent magnet synchronous motor model prediction control method comprising the following steps: (1) converting an acquired three-phase current to an alpha-beta coordinate system at a current moment k; (2) predicting the current value at a moment k+1 and a current reference value at a moment k+2 according to the current value of the alpha-beta coordinate system; (3) calculating the voltage control vector reference value at the moment k+1 according to the current value at the moment k+1 by taking the current reference value at the moment k+2 as a control objective; (4) analyzing out the angle corresponding to the voltage control vector reference value at the moment k+1, determining a sector to which the angle belongs, and extracting candidate voltage control vectors from the sector; and (5) substituting the candidate voltage control vectors into an objective function, and selecting the candidate voltage control vector corresponding to the minimum objective function value as an optimal voltage control vector. A lot of repeated calculation is avoided, the voltage vector is more accurate, the torque ripple of motors is reduced, and delay of the microprocessor due to calculation is offset.

Description

technical field [0001] The present invention relates to the technical field of permanent magnet synchronous motor control, and more specifically, to a model predictive control method for permanent magnet synchronous motors. Background technique [0002] There are currently two main control strategies for permanent magnet synchronous motors: vector control and direct torque control. In recent years, due to the rapid development of microprocessors, the computing power of digital controllers has been greatly improved, enabling some advanced control algorithms to be implemented in motor control. Widespread concern. [0003] Compared with direct torque control, model predictive control has a pre-set direct torque switch table, and the control performance obtained when the motor is in different operating states is not necessarily optimal, while the model predictive control algorithm passes online Calculating the optimal voltage vector can ensure that the performance of the motor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/14H02P21/00
CPCH02P21/0017H02P21/14
Inventor 徐伟邹剑桥穆朝絮叶才勇
Owner HUAZHONG UNIV OF SCI & TECH
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