Model predictive control method of embedded permanent magnet synchronous motor

Abstract

The invention is a model predictive control method of an embedded permanent magnet synchronous motor. The method includes the following steps: S1, establishing a discrete mathematical model of an embedded permanent magnet synchronous motor; S2, optimizing a model predictive control value function, calculating the d-axis and q-axis components of a given deadbeat voltage vector, substituting the d-axis and q-axis components ud and uq of seven basic voltage vectors into the value function, and selecting a voltage vector minimizing the value function g as a first optimal voltage vector Vopt1 for output; S3, optimizing the design of a dual-vector model predictive controller, carrying out voltage vector selection again on the basis of Vopt1 to determine a second optimal voltage vector Vopt2, andselecting a voltage vector Vj minimizing the value function g as a second optimal voltage vector Vopt2 through the value function; and S4, generating and sampling a three-phase stator current. The method can be applied to an embedded permanent magnet synchronous motor to suppress the stator current ripple.

Description

technical field [0001] The invention relates to the technical field of control of an embedded permanent magnet synchronous motor, in particular to a model predictive control method for an embedded permanent magnet synchronous motor. Background technique [0002] The built-in permanent magnet synchronous motor (IPMSM) has outstanding advantages such as high efficiency and high power density. Due to its structural characteristics, the embedded permanent magnet synchronous motor is more difficult to control, and the current research can only solve the problems in some specific cases. Traditional high-performance IPMSM control methods are mainly vector control and direct torque control. However, vector control and direct torque control have their own shortcomings. Vector control requires parameter tuning, which often takes a lot of time and effort, and the current ripple is not easy to remove; while direct torque control needs to suppress torque and flux linkage ripple, It is ...

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Problems solved by technology

[0003] Literature (Lin C K, Liu T H, Yu J T, et al.Model-Free Predictive CurrentControl for Interior Permanent-Magnet Synchronous Motor Drives Based on Current Difference Detection Technique[J].IEEE Transactions on Industrial Electronics,2013,61(2):667- 681.) Apply model predictive control to the embedded permanent magnet synchronous motor, and propose a model-free predictive current difference detection technology, but the control model is modeled in the three-phase stationary coordinate system (ABC), and within a sampling period For two current sampling, the control algorithm is too complicated, and the control rate of the existing digital signal processor (DSP) cannot accurately follow the algorithm operation, which is not conducive to practical application

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