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Neural network-based direct speed control method of permanent-magnet synchronous motor

A permanent magnet synchronous motor, neural network technology, applied in motor generator control, AC motor control, electronic commutation motor control and other directions, can solve problems affecting system dynamic performance, speed loop bandwidth limitation, etc.

Inactive Publication Date: 2019-06-11
BEIJING AUTOMATION CONTROL EQUIP INST
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The modern permanent magnet synchronous motor servo system puts forward higher and higher requirements on the dynamic response speed of the motor speed. The bandwidth of the loop is greatly limited by the bandwidth of the current loop, which affects the dynamic performance of the system

Method used

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  • Neural network-based direct speed control method of permanent-magnet synchronous motor
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  • Neural network-based direct speed control method of permanent-magnet synchronous motor

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Embodiment Construction

[0091] A neural network-based direct speed control method for permanent magnet synchronous motors, the method specifically includes the following steps:

[0092] Step 1. Use the controller to detect the various state quantities of the motor at any time;

[0093] Use the controller to detect the various state quantities of the motor at (k-1) time, including the three-phase current i of the motor a i b i c , motor three-phase voltage u a , u b , u c , motor speed ω r , motor position

[0094] The current and voltage signals detected by the sensor are the values ​​in the abc three-phase coordinate system, which are converted into signal values ​​in the two-phase rotating coordinate system (dq coordinate system) by Park transformation and Clark transformation:

[0095]

[0096]

[0097] In the formula: i d i q is the current value under the d-axis and q-axis; u d , u q is the voltage value under the d-axis and q-axis;

[0098] The motor speed ω detected by the ...

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Abstract

The invention relates to the technical field of speed control of a permanent-magnet synchronous motor, and particularly discloses a neural network-based direct speed control method of a permanent-magnet synchronous motor. The method comprises the steps of 1, detecting each state quantity of the motor at an arbitrary moment; 2, training a neural network so that a local dynamic model of the system is approached; 3, forecasting each state quantity of the system within a future period by the neutral network; 4, evaluating a forecast result of a limited control set by an index function, and selecting control quantity with optimal index; and 5, outputting an inverter control signal corresponding to the control quantity with the optimal index to an inverter, and completing control of a period. Bythe method, the influence of a current ring in a traditional cascade connection controller on bandwidth of a speed ring is prevented, and the dynamic response performance of the system is improved; and meanwhile, the method has good control accuracy and has favorable adaptability on external interference and parameter change, and the robustness of the system is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of speed control of permanent magnet synchronous motors, in particular to a neural network-based direct speed control method of permanent magnet synchronous motors. Background technique [0002] The modern permanent magnet synchronous motor servo system puts forward higher and higher requirements for the dynamic response speed of the motor speed. The bandwidth of the loop is greatly limited by the bandwidth of the current loop, which affects the dynamic performance of the system. Contents of the invention [0003] The purpose of the present invention is to provide a neural network-based direct speed control method for permanent magnet synchronous motors, which can break through the limitation of the current loop on the speed loop in the traditional cascade control structure, and improve the control accuracy and robustness of the system . [0004] The technical scheme of the present invention is as follow...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/00H02P21/14H02P25/026H02P27/06
Inventor 夏超
Owner BEIJING AUTOMATION CONTROL EQUIP INST
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