A Control Method of Brushless DC Motor Based on Arx Model and Pi Prediction Function

A technology of DC motor and prediction function, applied in motor generator control, electronic commutation motor control, control system and other directions, can solve problems such as poor control performance

Active Publication Date: 2016-01-13
南京市嘉隆电气科技股份有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to solve the problem of poor control performance of the prediction function when the prediction model does not match, the present invention provides a control method that combines PI with the prediction function to improve the prediction function

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  • A Control Method of Brushless DC Motor Based on Arx Model and Pi Prediction Function
  • A Control Method of Brushless DC Motor Based on Arx Model and Pi Prediction Function
  • A Control Method of Brushless DC Motor Based on Arx Model and Pi Prediction Function

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Embodiment Construction

[0052] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0053] 1. The derivation steps of PI prediction function are as follows:

[0054] (1) Prediction model

[0055] The predictive model is based on the extended autoregressive model (ARX model):

[0056] A(z -1 )y(k)=B(z -1 )u(k-1)+ξ(k)(2)

[0057] Among them, A(z -1 )=1+a 1 z -1 +…+a na z -na , B(z -1 )=1+b 1 z -1 +…+b nb z -nb , A(z -1 ), B(z -1 ) is about the translation operator z -1 polynomial, a, b are A(z -1 ), B(z -1 ) about the translation operator z -1 The coefficients of , the subscripts na and nb are the input and output orders respectively, ξ(k) is zero mean, and the variance is σ 2 system noise interference, u(k-1) is the input voltage at time k-1, and y(k) is the output speed at time k.

[0058] It is difficult to directly calculate the output of the prediction model, so the Diophantine equation is introduced, which...

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Abstract

The invention discloses a brushless DC motor control method based on an ARX model and a PI predictive function, and the predictive function is improved through the control method combining the PI and predictive function. Two adjustable parameters are added to the control amount, which makes the control adjustment more flexible. By adjusting the two parameters, the speed response performance of the brushless DC motor can be improved. In the present invention, under the same experimental conditions, the PI prediction function control rises faster than the prediction function control value, reaches a stable state quickly, and has small static errors. PI prediction function control can be adjusted according to the actual situation Kp , Ki Two parameters can achieve a good control effect. Compared with the calculation amount of the predictive function control including multiple basis functions, the PI predictive function algorithm has a small amount of calculation, flexible and convenient control, no need to re-modify the control program, only need to adjust two parameters, and solve the problem caused by the mismatch of the predictive function model. The problem of poor control effect.

Description

Technical field [0001] The present invention discloses a brushless DC motor control method based on the ARX model and PI prediction function, involving the field of motor speed control strategy. Background technique [0002] With the rapid development of electrical electronics, the brushless DC motor uses electron conversion device to replace the traditional brush -changing device.The brushless DC motor not only has the excellent speed regulation performance of DC motor, but also has the advantages of simple AC motor structure and reliable operation.As the requirements of industrial control on the accuracy, response speed, and stability of the system are getting higher and higher, it is particularly important to seek reasonable control algorithms. [0003] The control object in the brushless DC motor speed adjustment system is a non -linear system. Traditional PID control cannot meet the requirements of the rapidness, stability and robustness of the brushless DC motor. Therefore,...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P21/00
Inventor 郭伟陈一帆徐金成周丽
Owner 南京市嘉隆电气科技股份有限公司
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