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Search method and online control method for current trajectory of permanent magnet synchronous motor mtpv control

A permanent magnet synchronous motor and current control technology, which is applied in motor control, motor generator control, electromechanical brake control, etc., can solve problems such as the inability to achieve the maximum torque-voltage ratio and large deviation of the current trajectory, and achieve fast iteration convergence speed , small amount of calculation, and the effect of improving operating performance

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

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the traditional algorithm uses fixed parameter values ​​to calculate the current trajectory under MTPV control, which has a large deviation and cannot achieve accurate maximum torque-to-voltage ratio control, and provides a permanent magnet synchronous motor MTPV control current trajectory search method and online control method

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  • Search method and online control method for current trajectory of permanent magnet synchronous motor mtpv control
  • Search method and online control method for current trajectory of permanent magnet synchronous motor mtpv control
  • Search method and online control method for current trajectory of permanent magnet synchronous motor mtpv control

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specific Embodiment approach 1

[0062] Specific embodiment one: the following combination figure 1 This embodiment will be described. The method for searching the current trajectory of permanent magnet synchronous motor MTPV control described in this embodiment includes a current angle iteration loop step and a current amplitude iteration loop step, see figure 2 shown, the objective function value W(λ in the iteration loop step of the current angle k ) and W(β k ) is obtained by calling the current amplitude iterative loop, k=1, 2, 3...that is, the highest speed objective function value that needs to be obtained by calling the current amplitude iterative loop is W(λ 1 ), W(β 1 ); W(λ 2 ), W(β 2 ); W(λ 3 ), W(β 3 )…, the parameter output to the current amplitude iteration loop is the current angle test point λ k , β k , such as θ=λ k When the current amplitude is iteratively output W(θ), which is equivalent to the output W(λ k ) is returned to the current angle iteration loop as the objective funct...

specific Embodiment approach 2

[0140] Specific embodiment two: the following combination Figure 1 to Figure 5 This embodiment will be described. The permanent magnet synchronous motor MTPV online control method described in this embodiment will be described.

[0141] The search method described in Embodiment 1 is used to obtain the current trajectories of the permanent magnet synchronous motor at a series of operating points under different magnetization states, and these current trajectories are used as sample data to train, test and verify the neural network model. The BP algorithm is used to adjust the weight and bias of each node along the reverse direction of the neural network calculation according to the gradient of the error between the output value of the neural network and the sample value. The weights and biases are adjusted according to the error. When the error is less than the set value, the training is completed. The neural network structure and the weight and bias parameters of each neuron ...

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Abstract

The invention relates to a current trajectory search method and an online control method for MTPV control of a permanent magnet synchronous motor, belonging to the field of electric motors. The invention solves the problem that the traditional algorithm uses a fixed parameter value to calculate the current trajectory under MTPV control, which has a large deviation and cannot achieve accurate maximum torque-voltage ratio control. The problem. The method of the invention is: under the given torque command, voltage limit command and current limit command, obtain the current operating point with the maximum output power under the given torque, voltage limit and current limit as the MTPV current trajectory; the method includes the current Iteration of angle and current amplitude. First, current angle iteration is performed, and the iteration direction is the direction of the highest speed increase; in the iterative process, the current amplitude iteration is nested to determine the current amplitude and the highest speed corresponding to each current angle, The current amplitude iteration direction is the direction in which the error between the given torque and the actual torque decreases.

Description

technical field [0001] The invention relates to a current trajectory search algorithm in the control of the maximum torque-voltage ratio of a permanent magnet synchronous motor, a nonlinear flux linkage model of the permanent magnet synchronous motor, and an online maximum torque-voltage ratio of the permanent magnet synchronous motor based on a neural network. A control algorithm 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 dependent on non-renewable resources such as oil. The dual pressures of environmental pollution and energy crisis have prompted the traditional automobile industr...

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
CPCH02P6/34H02P21/14H02P21/141H02P21/20H02P21/22H02P21/0014H02P25/022H02P2207/05Y02T10/72
Inventor 郑萍乔光远刘家琦尹佐生刘国鹏
Owner HARBIN INST OF TECH
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