Permanent magnet synchronous motor control method based on state transition

Abstract

The invention relates to the technical field of motors, and particularly discloses a permanent magnet synchronous motor control method based on state transition, comprising the following steps: S1, collecting historical data in the working process of a permanent magnet synchronous motor, the historical data comprising on-off states and the sequence of the on-off states; S2, calculating transition probabilities among different switch states based on historical data, and establishing a transition probability matrix; and S3, establishing a cost equation, calculating a transfer constraint error based on the transfer probability matrix, inputting the transfer constraint error into the cost equation, obtaining a value of the cost equation, and selecting a corresponding switching state as an actual switching state of a next period based on the value. According to the technical scheme, output torque fluctuation and rotating speed fluctuation of the permanent magnet synchronous motor can be reduced, and the riding comfort of an automobile is improved.

Description

technical field [0001] The invention relates to the technical field of motors, in particular to a state transfer-based permanent magnet synchronous motor control method. Background technique [0002] Permanent magnet synchronous motors are widely used due to their small size and high power density, especially in the drive system of pure electric vehicles, and their control systems directly affect the driving performance of the motor and even the entire vehicle. Therefore, higher requirements are put forward for the control system of the permanent magnet synchronous motor. [0003] Model Predictive Control (MPC) is an advanced control algorithm widely used in industrial control. It uses the mathematical model of the control object to control the movement trend of the motor through rolling prediction. The performance index function is used to find the control quantity that minimizes the error between the actual response variable and the predicted quantity. In the prior art, ...

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Problems solved by technology

[0004]In summary, on the one hand, the traditional motor control strategy mostly relies on the experience of developers; As well as the characteristics of dynamic changes in motor parameters, the traditional control method is prone to problems such as control performance degradation during the motor speed regulation process, which in turn affects the timely response characteristics and stability of the system.

[0005]In the model predictive control method of current predictive control, the optimal switch switching sequence is found through the cost function. There is a very serious problem in this current predictive control method. The switch state obtained by predictive control is directly used as the control variable, which will cause excessive fluctuations in the output torque and speed of the motor, resulting in a series of vibration and noise problems in the car, thus affecting the comfort of the driver and passengers

Furthermore, there are still some random disturbance factors in the motor control process, which cannot establish an accurate mathematical model

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