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Six-phase permanent-magnet synchronous motor model predictive control method

A model predictive control, permanent magnet synchronous technology, applied in motor generator control, electronic commutation motor control, control system and other directions, can solve the problems of unstable switching frequency and complex calculation

Inactive Publication Date: 2015-12-16
HARBIN INST OF TECH
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Problems solved by technology

[0010] The purpose of the present invention is to provide a six-phase permanent magnet synchronous motor model predictive control method, which has the advantages of good robustness and fast response compared with the traditional control method. Compared with the finite set model predictive control, it overcomes the switch The frequency is not fixed and the disadvantages of complex calculation

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  • Six-phase permanent-magnet synchronous motor model predictive control method
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Embodiment Construction

[0061] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.

[0062] The present invention provides a kind of six-phase PMSM control method based on MPC control, and specific content is as follows:

[0063] 1. The whole system adopts a series control structure, and the feedback signal is obtained through the feedback information of the resolver and the current sensor to form a closed-loop system, and the state variable is updated in each switching cycle. The speed reference value is calculated through the position information, and the reference information in the model predictive control is obtained through the PI...

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Abstract

The invention discloses a six-phase permanent-magnet synchronous motor (PMSM) model predictive control method comprising establishing a state space model of a six-phase PMSM by performing discretization on the six-phase PMSM in a natural coordinate system; by acquiring the state information at the kth time, using the current in the fundamental wave subspace as a master control amount and using the current in the harmonic wave subspace as an optimizable controlled amount, establishing an objective function based on torque maximum and harmonic current minimum. The six-phase PMSM model predictive control method is established on the basis of a completely-discretized six-phase PMSM mathematic model and the essential discreteness of the method is liable to digital realization. An experiment verifies the fast responsiveness and the good robustness of the method in real control.

Description

technical field [0001] The invention relates to a six-phase permanent magnet synchronous motor (six-phase PMSM) control method based on model predictive control. Background technique [0002] Model Predictive Control (Model Predictive Control, MPC) has a history of nearly 30 years of development, and the main reason for its early development is limited because of its large amount of calculation. With the development of high-speed processors, the operation speed of multivariable control system algorithms represented by DSP has been significantly improved, and MPC has gradually been applied to systems with high real-time requirements such as electric traction and motion control. Model predictive control fully considers the nonlinear characteristics and constraints of multiple-input multiple-output (MIMO) systems, and controls them uniformly. The main characteristics of MPC in motor drive applications are: [0003] 1) Very accurate multi-variable, nonlinear discrete model can...

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Application Information

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IPC IPC(8): H02P21/00
Inventor 刘剑徐永向赵博邹继斌
Owner HARBIN INST OF TECH
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