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Magnetization state selection method and online control method for optimal control of full-speed efficiency of adjustable-flux permanent magnet synchronous motor

A technology of permanent magnet synchronous motor and magnetization state, which is applied in the direction of motor control, motor generator control, AC motor control, etc. Accurately select the magnetization state with the best motor efficiency, etc., to achieve the effect of small calculation, fast iteration convergence speed, and improved operation performance

Active Publication Date: 2022-07-12
HARBIN INST OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the traditional optimal control algorithm in the full-speed domain efficiency uses fixed parameter values ​​to calculate, and there is a large deviation in the current trajectory, which makes it impossible to accurately select the magnetization state with the best motor efficiency, and cannot realize the accurate full-speed domain of the adjustable flux motor. For the problem of optimal efficiency control, a method for selecting the magnetization state of the adjustable flux permanent magnet synchronous motor with the optimal control of the full speed domain efficiency is provided to realize the selection of the magnetization state of the adjustable flux permanent magnet synchronous motor under the optimal control of the full speed domain efficiency Fast and accurate specification of selection and current trajectories

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  • Magnetization state selection method and online control method for optimal control of full-speed efficiency of adjustable-flux permanent magnet synchronous motor
  • Magnetization state selection method and online control method for optimal control of full-speed efficiency of adjustable-flux permanent magnet synchronous motor
  • Magnetization state selection method and online control method for optimal control of full-speed efficiency of adjustable-flux permanent magnet synchronous motor

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specific Embodiment approach 1

[0115] Specific embodiment one: the following combination Figure 1 to Figure 9 This embodiment will be described. The method for selecting the optimal control magnetization state for the full-speed domain efficiency of an adjustable-flux permanent magnet synchronous motor described in this embodiment is as follows:

[0116] Step 1. Under the given motor magnetization state, torque command, speed command, voltage limit, and current limit, obtain the minimum current amplitude of the motor under m different magnetization states according to the full-speed domain efficiency optimal control current trajectory search method. The current operating point is obtained, and the MAP map of the motor efficiency when the motor efficiency is optimally controlled in the full speed domain under m different magnetization states is obtained;

[0117] Figures 4 to 7 What is given is the efficiency MAP map corresponding to m=4 magnetization states when the optimal control of the efficiency in t...

specific Embodiment approach 2

[0260] Specific embodiment two: the following combination Figure 10 This embodiment is described. The online control method for the optimal control of the full-speed domain efficiency of an adjustable-flux permanent magnet synchronous motor described in this embodiment adopts the optimal control of the full-speed efficiency of the adjustable-flux permanent magnet synchronous motor in the first embodiment to control the magnetization. The state selection method obtains multiple current operating points of the motor under different magnetization states and in the full speed range, including the current operating point obtained by the MTPA control method below the base speed value, and the optimal control method of the field weakening area efficiency above the base speed value. Obtained current operating point;

[0261] Taking these current operating points as sample data, the training generates the full-speed domain efficiency optimal control neural network model. The input of ...

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Abstract

A magnetization state selection method and an on-line control method for optimum control of full-speed domain efficiency of an adjustable-flux permanent magnet synchronous motor belong to the field of electric motors. . The method of the present invention is as follows: Step 1: According to the full-speed domain efficiency optimal control current trajectory search method, respectively obtain m current operating points with the smallest motor operating current amplitude under different magnetization states, and obtain m motor efficiency MAP maps; Step 2, Determine the operating range of the motor; step 3, determine the optimal magnetization state of each working point of the motor within the operating range based on the principle of optimal efficiency; step 4, make the optimal magnetization state of the adjustable magnetic flux motor at full speed domain efficiency control Query diagram; Step 5: When the adjustable magnetic flux motor is running, determine the optimal magnetization state of each operating point in the full-speed domain according to the optimal magnetization state query diagram, so as to realize the optimal control of the full-speed domain efficiency of the adjustable magnetic flux motor.

Description

technical field [0001] The invention relates to a magnetization state selection method and a current trajectory search algorithm in the full-speed domain efficiency optimal control of an adjustable-flux permanent-magnet synchronous motor, a nonlinear flux linkage model of an adjustable-flux permanent-magnet synchronous motor and a method based on The invention discloses an optimal online control algorithm for the full-speed domain efficiency of an adjustable magnetic flux permanent magnet synchronous motor of a neural network, which belongs to the field of motors. Background technique [0002] In recent years, the number of traditional automobiles has surged, and the problem of environmental pollution has become increasingly serious, which has gradually become one of the important factors aggravating global warming and the greenhouse effect. At the same time, traditional automobiles use internal combustion engines, which have a low energy conversion rate and are very depende...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P6/34H02P21/14H02P21/20H02P21/22H02P25/022
CPCH02P6/34H02P21/14H02P21/141H02P21/20H02P21/22H02P21/0014H02P21/0089H02P25/022H02P2207/05Y02T10/72
Inventor 郑萍乔光远王明峤刘法亮黄家萱陈闯
Owner HARBIN INST OF TECH
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