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Human-simulated intelligent rotating speed control method for brushless direct -current motor

A brush DC motor and speed control technology, which is applied in the direction of single motor speed/torque control, motor control, control system, etc., can solve the problems of large speed fluctuations in the sudden load stage and slow response in the motor start-up stage, etc., to achieve brushless The DC motor has a smooth speed response curve, simple human-like thinking, and good stability

Active Publication Date: 2019-11-19
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing brushless DC motor control methods, the present invention proposes a brushless DC motor humanoid intelligent speed control method to solve the problems of the control system in the prior art requiring precise mathematical modeling, slow response in the motor start-up phase, and sudden increase The problem of large speed fluctuations during the load phase

Method used

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  • Human-simulated intelligent rotating speed control method for brushless direct -current motor
  • Human-simulated intelligent rotating speed control method for brushless direct -current motor
  • Human-simulated intelligent rotating speed control method for brushless direct -current motor

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Embodiment 1

[0072] Please refer to figure 1 , the present embodiment provides a brushless DC motor humanoid intelligent speed control method, comprising the following steps:

[0073] S1. Constructing the transfer function of the speed control system of the brushless DC motor;

[0074] S2. Substitute the motor parameters into the transfer function, calculate the damping coefficient of the speed control system, determine the root position of the speed control system, and obtain the unit step response curve and error phase plane trajectory of the speed control system through matlab. The motor parameters include stator phase windings Resistance, stator phase-to-phase inductance, rotor moment of inertia, number of pole pairs, rated speed, torque coefficient and back EMF coefficient;

[0075] S3. According to the trajectory of the error phase plane, determine the characteristic primitive set and the threshold parameter, construct the characteristic state through the combination of each charact...

Embodiment 2

[0081] Compared with Embodiment 1, a two-pole three-phase motor is selected for the brushless DC motor, and the control for the two-pole three-phase brushless DC motor is as follows:

[0082] 1. Construct the transfer function of a two-pole three-phase brushless DC motor

[0083] Please refer to figure 2 , The motor is driven by a three-phase full bridge, and the stator windings are energized in pairs. Each electrical cycle of the motor needs to undergo 6 commutations. The commutation torque ripple caused by the commutation process has little influence on the electrical quantities in the model, so it is ignored here to simplify the model calculation.

[0084] It is approximately considered that only two-phase windings are turned on, and the currents are equal in magnitude and opposite in direction, as shown in formula (1):

[0085] i A =-i B = i (1)

[0086] The phase voltage equation of the brushless DC motor can be expressed by formula (2):

[0087]

[0088] The co...

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Abstract

The invention discloses a human-simulated intelligent rotating speed control method for a brushless direct -current motor and belongs to the technical field of brushless direct current motor control.According to the method, control is realized based on the establishment of a system function and the determination and optimization of threshold parameters and control parameters; online characteristic identification and characteristic memorization can be realized; control strategies can be selected and determined on line on the basis of the characteristics of an error phase plane; a mode that a person adopts different control strategies for different situations is preliminarily simulated; the characteristic state of a system can be identified in real time according to a characteristic model which has an a priori property; a control strategy is determined; control output is generated; the precise mathematical model of a controlled object is not needed; and a rotating speed response curve obtained by the method has the advantages of smaller overshoot quantity, shorter response time and stronger anti-interference capability. The control method has certain universality and can adapt to the speed regulation control of various motors.

Description

technical field [0001] The invention relates to the technical field of brushless DC motor control, in particular to a humanoid intelligent speed control method for a brushless DC motor. Background technique [0002] Brushless DC motor (BLDCM) system has a wide range of applications in the field of industry and national defense because of its simple control structure, strong controllability, and good speed regulation performance. With the continuous expansion of industrial scale and the further promotion of intelligent industry, the operating environment faced by brushless DC motors is becoming more and more complex. Traditional classical control theory and PID control have been difficult to meet the requirements of high performance and strong robustness of the control system. . Moreover, the brushless DC motor (BLDCM) is a nonlinear controlled object with external load disturbance. Conventional PID control usually treats the brushless DC motor (BLDCM) as a linear controlled...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P6/34H02P6/08
CPCH02P6/08H02P2205/07H02P6/34
Inventor 宋建霖戴小文岳丽全
Owner SOUTHWEST JIAOTONG UNIV
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