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A pmsm current predictive control method based on sd-mpm

A current prediction and control method technology, applied in the direction of motor generator control, electronic commutation motor control, control system, etc., can solve the problems of unfixed switching frequency, inability to control noise and harmonics, and large amount of calculation, etc., to achieve good results The effect of sampling delay and calculation delay, improving steady-state error, and optimizing control bandwidth

Active Publication Date: 2022-05-10
上大电气科技(嘉兴)有限公司
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Problems solved by technology

[0003] At present, scholars at home and abroad have proposed a variety of current control algorithms. The PI control structure is simple and stable, but it cannot take into account the dynamic and steady-state performance in the entire operating range of the nonlinear system; the hysteresis control has the advantages of simple control method and strong robustness. advantages, but its switching frequency is not fixed, and it cannot control noise and harmonics; intelligent control does not depend on the mathematical model of the system, and it is robust, but its algorithm complexity is very high, and the amount of calculation is large, which has a great impact on the controller hardware. The requirements are also very strict; the current predictive control algorithm includes the nonlinear properties of the permanent magnet servo system, so that the system has a good dynamic response and small current harmonics in the operating range; therefore, in order to meet the high requirements of the permanent magnet servo system Performance requirements, current predictive control algorithm has gradually become a research hotspot

Method used

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  • A pmsm current predictive control method based on sd-mpm
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Embodiment 1

[0046] The concept of the current predictive control algorithm is simple and easy to understand, easy to implement, and convenient to debug. However, the nature of its model-based algorithm determines that the control performance is highly sensitive to factors such as model parameter mismatch and sampling delay. Model parameter mismatch and sampling delay It will affect the control performance of the system, and even make the system diverge, so the optimization algorithm considering the sampling delay and model parameter mismatch has important practical significance.

[0047] refer to Figure 1 to Figure 4 For the first embodiment of the present invention, a PMSM current predictive control method based on SD-MPM (SampleDelay sampling delay, Model parameter mismatch model parameter mismatch) is provided, including:

[0048] S1: Calculate the voltage state equation of the permanent magnet synchronous motor, and obtain the mathematical expression of the equivalent voltage disturb...

Embodiment 2

[0088] Preferably, the existing permanent magnet synchronous motor deadbeat predictive control method is realized based on a predictable iron loss equivalent circuit model, and the method collects the actual speed ω of the permanent magnet synchronous motor at the current k moment in real time m (k) and reference speed ω * m , input the result of the comparison operation between the two into the PI controller module, and output the reference currents of the d-axis and q-axis through the PI controller module, and establish the predictable iron loss equivalent circuit model of the permanent magnet synchronous motor. The beat predictive control calculates the d-axis and q-axis reference voltages at k+1 time, and performs Park inverse transformation on the obtained d-axis and q-axis reference voltages to obtain the voltage component v of the permanent magnet synchronous motor in the α-β coordinate system α and v β , the voltage component v α and v β The switching signal of the...

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Abstract

The invention discloses a PMSM current predictive control method based on SD-MPM, which includes calculating the voltage state equation of a permanent magnet synchronous motor to obtain a mathematical expression of the model parameter mismatch equivalent voltage disturbance; based on the observer theory, combined with mathematics The expression constructs the current and equivalent voltage disturbance observation model to observe the current and equivalent voltage disturbance at k+1 time; use the current reference value at k time to predict the current reference value at k+2 time; according to the observation model, the current and The current reference value predicted at time k+2 is calculated to obtain the voltage vector at time k+1; the compensated output voltage vector is obtained by using the objective function strategy and substituted into the cost function for optimization, and the optimization result is output to complete the predictive control. The invention can optimize the control bandwidth of the current loop, improve the steady-state error caused by inaccurate model parameters, solve the problem that the observer parameter does not converge to zero when the error occurs, and optimize the performance of the control system.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to an SD-MPM-based PMSM current predictive control method. Background technique [0002] The permanent magnet servo system uses the permanent magnet synchronous motor (PMSM) as the executive component, and its typical characteristics are nonlinearity, uncertainty, and time variation. The permanent magnet servo system has the characteristics of high power density and high efficiency, and has become the best choice for many industrial applications. Selection, especially in the field of advanced manufacturing and electric drive has great potential for development. The permanent magnet servo system includes three loops: position control loop, speed control loop and current control loop. The innermost loop is the current control loop, the performance of the current control loop limits the overall performance of the permanent magnet servo system, so it is very important to study th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P21/22
CPCH02P21/22
Inventor 王爽陈康赵剑飞
Owner 上大电气科技(嘉兴)有限公司
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