A model predictive torque control method for permanent magnet synchronous motor
A permanent magnet synchronous motor, model prediction technology, applied in motor control, motor generator control, AC motor control and other directions, can solve the problems of unstable switching frequency, poor real-time performance, large torque ripple, etc., to save the evaluation function The effect of calculating and reducing the number of optimal voltage vectors
Active Publication Date: 2020-05-12
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology
However, the above-mentioned traditional direct torque control method has disadvantages such as unfixed switching frequency and large torque ripple, and the model predictive direct torque control has the problems of large computational workload and poor real-time performance, so there is still a lack of a An effective model predictive torque control method can solve technical problems such as significantly reducing the calculation workload and improving real-time control
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[0028] The technical scheme of the method provided by the present invention will be further explained in detail below in conjunction with the accompanying drawings.
[0029] figure 1 Block diagram of a predictive torque control system for a conventional model of a permanent magnet synchronous motor. In the traditional model predictive torque control, the voltage equation of the discrete permanent magnet synchronous motor in the dq two-phase rotating coordinate system can be expressed as:
[0030]
[0031] In the formula, V d (k), V q (k) is dq axis voltage at time k, i d (k), i q (k) is dq axis current at time k, ω r (k) is the electrical angular velocity of the rotor.
[0032] in,
[0033]
[0034] The discrete permanent magnet synchronous motor stator flux equation is:
[0035] ψ d (k)=L d i d (k)+λ f
[0036] ψ q (k)=L q i q (k)
[0037]
[0038] where, ψ d (k) and ψ q (k) are d-axis and q-axis flux linkages at time k respectively, ψ s (k) is th...
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The invention provides a permanent magnet synchronous motor model prediction torque control method. The permanent magnet synchronous motor model prediction torque control method is characterized in that only torque and stator flux linkage need to be predicted in a zero voltage vector effect; when a torque error is within a set threshold value, the zero voltage vector is selected as the optimal voltage vector; or otherwise, the optimal non-zero voltage vector is determined based on a voltage vector selection table controlled by direct torque. Compared with direct torque control, the improved model prediction torque control adopts fixed switching frequency, so that switching loss can be lowered, and inverter efficiency can be improved; compared with the conventional model prediction torque control, the improved MP-DTC only needs to predict the torque and stator flux linkage in the zero voltage vector effect, and an evaluation function is cancelled, so that calculation workload is greatlylowered; and the advantage of high response speed of direct torque control is combined, and the shortcoming of high workload of the conventional model prediction torque control is abandoned.
Description
technical field [0001] The invention relates to the technical field of motor control, in particular to a model predictive torque control method for a permanent magnet synchronous motor. Background technique [0002] The traditional direct torque control method can significantly improve the dynamic response speed of the torque, and the control system has a simple structure and good robustness. Model predictive direct torque control is developed on the basis of traditional direct torque control, which has a very fast response speed as traditional direct torque control, and can also take into account other control objectives, such as harmonic distortion, switching Frequency, current protection, etc. However, the above-mentioned traditional direct torque control method has disadvantages such as unfixed switching frequency and large torque ripple, and the model predictive direct torque control has the problems of large computational workload and poor real-time performance, so th...
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IPC IPC(8): H02P21/12H02P21/14H02P21/20H02P25/022
CPCH02P21/12H02P21/141H02P21/20H02P25/024H02P2207/05
Inventor 张承宁苏丹丹
Owner BEIJING INSTITUTE OF TECHNOLOGYGY