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Brushless direct current motor optimization method based on improved beetle antennae algorithm

A technology of brushing DC motor and optimization method, which is applied in the direction of motor control, control generator, motor generator control, etc., can solve the problems of poor precision effect and low search efficiency of beetle algorithm.

Active Publication Date: 2021-07-23
ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
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Problems solved by technology

[0004] The object of the present invention is to provide a kind of brushless DC motor optimization method based on the improved beetle's beetle algorithm, to solve the low search efficiency and accuracy effect of the beetle's beard algorithm in the global search and local search process of the optimal control method in the prior art bad technical problem

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  • Brushless direct current motor optimization method based on improved beetle antennae algorithm
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  • Brushless direct current motor optimization method based on improved beetle antennae algorithm

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Embodiment Construction

[0045] The specific embodiments of the present invention will be further described in detail by describing the embodiments below with reference to the accompanying drawings, so as to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention.

[0046] like Figure 1-7 As shown, the present invention provides a kind of brushless direct current motor optimization method based on improved beetle whisker algorithm, comprises the following steps:

[0047] Step 1. Construct the mathematical model of the brushless DC motor speed and current double closed-loop speed regulation system to be optimized, and build the simulation model of the brushless DC motor control system in Matlab / Simulink according to the model. The current loop as the inner loop is adopted Traditional PID control, as the speed loop of the outer ring, the improved PID control algorithm is optimized by the improved be...

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Abstract

The invention discloses a brushless direct current motor optimization method based on an improved beetle antennae algorithm. The method comprises the steps of 1, building a to-be-optimized brushless direct current motor rotating speed and current double-closed-loop speed regulation system mathematical model, and building a brushless direct current motor control system simulation model in Matlab / Simulink according to the model; and 2, establishing an initial value and a random unit orientation of the beetle antennae algorithm, performing three-dimensional decomposition on an iteration position of the beetle antennae algorithm, assigning values to three PID parameters, setting a beetle updating principle and a termination condition in the improved beetle antennae algorithm, and obtaining optimal control parameters of the motor by using the improved beetle antennae algorithm. According to the invention, the improved beetle antennae algorithm is adopted to optimize the three PID control parameters of the rotating speed loop of the brushless direct current motor, and compared with the original beetle antennae algorithm and any set PID control parameters, the motor speed regulation control system has good dynamic and static characteristics, fast rotating speed response and strong anti-interference performance.

Description

technical field [0001] The invention belongs to the field of brushless direct current motors, in particular to an optimization method for brushless direct current motors based on an improved beetle whisker algorithm. Background technique [0002] With the rapid development of power electronics and permanent magnet materials, brushless DC motors have been widely used in the fields of robotics, aerospace, electric vehicles, etc., and also put forward higher requirements for the control system of the motor. The rapidity, stability and robustness of speed control are important indicators to measure the motor. The PID control scheme used in the traditional speed control system is simple and practical, but with the advancement of science and technology and the improvement of precision requirements, the classic PID control technology has more and more shortcomings such as too simple signal processing, control parameters not adjusted with the environment, and slow adaptability. [...

Claims

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Application Information

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IPC IPC(8): H02P6/28H02P6/10H02P21/00H02P21/18H02P21/22G05B11/42
CPCH02P6/28H02P6/10H02P21/0003H02P21/18H02P21/22G05B11/42H02P2205/01H02P2205/07
Inventor 时培成陈晨章亮陈旭倪璇李龙梁涛年王金桥陈现敏杨爱喜马康
Owner ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE