System and method for controlling current of permanent magnet synchronous motor for electric vehicle

Abstract

The invention discloses a system and method for controlling the current of a permanent magnet synchronous motor for an electric vehicle. The system comprises a rotating speed / position detection module used for detecting the rotating speed value omega and the position angle theta of the permanent magnet synchronous motor, a current sensor, a first coordinate transformation module, a second coordinate transformation module, a PI speed ring controller used for conducting PI operation on the motor rotating speed value omega obtained through the rotating speed / position detection module and a given motor rotating speed value omega r to obtain a q-axis current reference value, a current ring prediction control module, a sliding formwork disturbance observation module, a third coordinate transformation module and a space vector pulse width duration modulation module, wherein the space vector pulse width duration modulation module is used for calculating u alpha and u beta to obtain six-path PWM signal output, PWM signals are used for controlling an inverter, and thus three-phase output voltage is obtained to drive the motor to operate. An advanced continuous time generalized prediction control method is adopted for the tracking and controlling of the current of the permanent magnet synchronous motor for the electric vehicle, and the system and method have the advantages of being small in calculated amount, good in control effect and the like.

Description

technical field [0001] The invention relates to a permanent magnet synchronous motor (PMSM) current tracking control method for electric vehicles, in particular to a PMSM current tracking control method for electric vehicles with strong tracking and robustness based on generalized predictive control (GPC) and a sliding mode disturbance observer. Control system and control method. Background technique [0002] With the aggravation of energy shortage and environmental pollution, electric vehicles have become the main development direction of the automobile industry in the 21st century. Due to its high efficiency, high specific power, high power factor, high reliability and easy maintenance, permanent magnet synchronous motors have been considered to have great potential to compete with asynchronous motors in applications such as electric vehicles. Although PMSM has the above advantages, the road conditions of electric vehicles are complex and the working environment is comple...

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Problems solved by technology

Similarly, the model predictive control method has also proved its effectiveness in PMSM control. However, most of the current control of permanent magnet synchronous motors adopts predictive control based on the system discrete-time model, and considers the system constraints. By solving the quadratic programming The online optimization of the problem improves the PMSM control performance, but at the same time there is a problem of large amount of calculation, which requires high configuration of the control system, which limits its application in high dynamic nonlinear systems such as electric drive systems.

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