Model Predictive Control Method of Permanent Magnet Synchronous Motor Based on Dead Zone Effect

Abstract

The invention relates to a model predictive control method of a permanent magnet synchronous motor based on a dead zone effect, which belongs to the technical field of control. The purpose of the present invention is to take the inverter switch as the core, improve the dead time of the actual inverter, realize the accurate and fast dynamic response of the torque, and improve the efficiency of the working area of ​​the motor. Model predictive control method for magnetic synchronous motor. The steps of the invention are: permanent magnet synchronous motor and inverter dead zone modeling, finite set MPC torque optimization control considering the dead zone. The model predictive control method adopted in the present invention can effectively reduce the internal power consumption of the motor drive system (including motor copper loss and inverter switching loss) and conduction loss), thereby improving the efficiency of the motor working area and improving economy.

Description

technical field [0001] The invention belongs to the technical field of control. Background technique [0002] With the research and development of permanent magnet synchronous motor control technology, Field Oriented Control (FOC) and Direct Torque Control (DTC), as two classic control strategies, are widely used in AC motor systems, but these strategies only focus on Focusing on the control of the motor body, the driving characteristics of the inverter, which is the core component of the permanent magnet synchronous motor (PMSM), are ignored, which leads to the inability to balance and restrain the different requirements in the control of the vehicle motor. Therefore, the DC-AC inverter The optimal control of the motor is gradually becoming a research hotspot in the control of permanent magnet synchronous motors. As the power electronic drive device of the PMSM motor, the inverter receives the three-phase pulse of the controller to convert the DC power of the power battery...

AI Technical Summary

Problems solved by technology

[0003] The current research on the optimal control of permanent magnet synchronous motors and inverters still has obvious deficiencies, including: 1. The current control methods of permanent magnet synchronous motors are mainly vector control and direct torque control methods, which are difficult to achieve different Control requirements and constraints to achieve optimal control effects

At present, there are few researches on model predictive control for permanent magnet synchronous motors.

[0004] 2. Most of the current research on inverters adopts the following schemes: sinusoidal pulse width modulation (SPMW) control, current hysteresis PWM control, space voltage vector pulse width modulation (SVPWM) control, and no direct control of the inverter The control signal changes with the state and control performance requirements, and the variable frequency pulse signal is used to achieve optimal control

[0005] 3. In the design of motor and inverter control, the influence of dead time is ignored, resulting in large torque ripple. In the current research on the dead time effect, simple compensation methods are often used, and the impact of the dead time is not considered in the model. The dead zone and the overall modeling of the motor can directly eliminate the influence of the dead zone through the controller

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