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Permanent magnet synchronous motor weak magnetic area efficiency optimal control current track searching method and online control method

A permanent magnet synchronous motor, optimal control technology, applied in motor control, motor generator control, control of electromechanical brakes, etc., can solve problems such as large deviation of current trajectory and inability to achieve optimal control of field weakening area efficiency.

Active Publication Date: 2021-03-09
HARBIN INST OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the traditional optimal control algorithm for the efficiency of the field weakening area uses fixed parameter values ​​for calculation, and there is a large deviation of the current trajectory, which makes it impossible to realize the optimal control of the efficiency of the field weakening area accurately. Optimal Control Current Trajectory Search Method and Online Control Method

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  • Permanent magnet synchronous motor weak magnetic area efficiency optimal control current track searching method and online control method
  • Permanent magnet synchronous motor weak magnetic area efficiency optimal control current track searching method and online control method
  • Permanent magnet synchronous motor weak magnetic area efficiency optimal control current track searching method and online control method

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specific Embodiment approach 1

[0065] Specific implementation mode one: the following combination Figure 1 ~ Figure 4 To illustrate this embodiment, the current trajectory search method for optimal control of efficiency in the field-weakening zone of a permanent magnet synchronous motor according to this embodiment includes the iterative cycle step of the field-weakening current angle and the iterative cycle step of the current amplitude, see figure 2 As shown, the current amplitude objective function value I(λ k ), I(β k ) and load voltage objective function value U(λ k ), U(β k ) is obtained by invoking the iterative cycle of current amplitude, k=1, 2, 3... That is, the objective function value that needs to be obtained by invoking the iterative cycle of current amplitude is I(λ 1 ), I(β 1 ), U(λ 1 ), U(β 1 ); I(λ 2 ), I(β 2 ), U(λ 2 ), U(β 2 ); I(λ 3 ), I(β 3 ), U(λ 3 ), U(β 3 )..., the parameter output to the current amplitude iterative cycle is the current angle test point λ k , β k ,...

specific Embodiment approach 2

[0141] Specific implementation mode two: the following combination Figure 1 to Figure 5 This embodiment will be described, and the on-line control method for optimal efficiency in the field weakening region of a permanent magnet synchronous motor described in this embodiment will be described.

[0142] Using the search method described in Embodiment 1 to obtain the current trajectory of the permanent magnet synchronous motor at a series of operating points with the smallest current amplitude, these current trajectories are used as sample data to train, test and verify the neural network model. When the error is less than After setting the value, the training is completed, the neural network structure and the weight and bias parameters of each neuron are determined, and the neural network model for the optimal control of the efficiency of the weak magnetic field is established. The neural network model training, testing and verification errors are as follows: Figure 5As shown...

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Abstract

The invention discloses a permanent magnet synchronous motor weak magnetic area efficiency optimal control current tracksearch method and an online control method, belongs to the field of motors, andaims to solve the problems that a traditional weak magnetic area efficiency optimal control algorithm uses fixed parameter values for calculation, the current trackdeviation is large, and accurate weak magnetic area efficiency optimal control cannot be realized. The method is realized as follows: under a given torque instruction, a rotating speed instruction, a voltage limit and a current limit, obtaining a current working point with the minimum current amplitude as a current track with the optimal efficiency control in a weak magnetic region; the method comprises weak magnetic current angle iteration and current amplitude iteration, wherein the weak magnetic current angle iteration is carried out firstly, and the iteration direction is the direction in which the current amplitude is reduced under the voltage limit; and in the iteration process, current amplitude iteration is nested to determine the current amplitude corresponding to each current angle, the iteration direction is the direction in which the error between the given torque and the actual torque is reduced, and the current track with the optimal efficiency control in the weak magnetic region is output after iteration convergence.

Description

technical field [0001] The invention relates to a current trajectory search algorithm for the optimal control of the efficiency in the field-weakening area of ​​a permanent magnet synchronous motor, a nonlinear flux linkage model of a permanent magnet synchronous motor, and an online method for optimizing the efficiency of the field-weaking area of ​​a permanent magnet synchronous motor based on a neural network. The invention relates to a control algorithm, which belongs to the field of motors. Background technique [0002] In recent years, the number of traditional automobiles has increased sharply, which has caused increasingly serious environmental pollution problems, and has gradually become one of the important factors that exacerbate global warming and the greenhouse effect. At the same time, traditional automobiles use internal combustion engines, which have a low energy conversion rate and rely heavily on non-renewable resources such as petroleum. The dual pressures...

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Application Information

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IPC IPC(8): H02P6/34H02P21/14H02P21/20H02P21/22H02P25/022
CPCH02P6/34H02P21/14H02P21/141H02P21/20H02P21/22H02P21/0014H02P25/022H02P21/0089H02P2207/05Y02T10/72
Inventor 郑萍王明峤乔光远刘家琦郎杰文
Owner HARBIN INST OF TECH
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