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Motor control method based on dead-beat optimization and double vector model prediction

A model prediction and dual-vector technology, which is applied in vector control systems, motor generator control, AC motor control, etc., can solve the problems of affecting the motor control effect and large motor torque ripple

Active Publication Date: 2016-08-31
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

The method based on single-vector model predictive control only acts on one voltage vector in one cycle, which will cause the torque ripple of the motor to be large, thus affecting the control effect of the motor

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  • Motor control method based on dead-beat optimization and double vector model prediction
  • Motor control method based on dead-beat optimization and double vector model prediction
  • Motor control method based on dead-beat optimization and double vector model prediction

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[0074] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0075] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0076] refer to figure 1 As shown, it is a flow chart of an embodiment of the motor control method based on deadbeat optimization and double vector model prediction provided by the present invention. The motor control method based on deadbeat optimization and dual-ve...

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Abstract

The invention discloses a motor control method based on dead-beat optimization and double vector model prediction. The motor control method comprises the steps of: acquiring current, flux linkage and torque of a next moment according to model prediction control; calculating to obtain a reference voltage vector according to dead-beat control; utilizing rotor position information to obtain the reference voltage vector and a position angle in a stationary coordinate system; judging sectors of voltage vectors according to the position angle, and accordingly selecting the voltage vector for calculation to obtain a predicted voltage vector with a minimal target function value; and calculating to obtain action time of the predicted voltage vector and a zero vector, and acquiring pulse signals of 6-path PWM waves for driving an inverter to act. The motor control method obtains the position angle of the reference voltage vector through dead-beat control, thus 8 voltage vectors in model prediction control are reduced to 3, the calculation workload of a control system is reduced, the torque pulsation is further reduced through the double vector model, and the stability of a motor control system is further improved.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a motor control method based on deadbeat optimization and double vector model prediction. Background technique [0002] Common motor-based control methods are deadbeat control and model predictive control. Among them, the deadbeat control principle is to use the discrete mathematical model of the motor to predict the motor voltage in the two-phase rotating coordinate system to be applied at the next moment, and obtain the switching state of the inverter through SVPWM (Space Vector PWM), so that The motor tracks the given value in one cycle, so that the motor has good dynamic and steady-state performance. The principle of model predictive control is to use the discrete mathematical model of the motor to predict the current, flux linkage and torque at the next moment, and to predict the voltage vector to be applied at the next moment through rolling optimization, thereby imp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/00H02P21/08H02P21/14H02P27/12
CPCH02P21/0017H02P21/08H02P21/14H02P27/12
Inventor 张晓光侯本帅张亮王克勤李毅何一康
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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