Brushless DC motor fuzzy PID control method based on neural network matrix

A brushless DC motor and neural network technology, which is applied in the field of brushless DC motor speed control, can solve the problem of poor processing effect of the uncertainty and nonlinear conditions of the brushless DC motor system, limited ability to adjust the dynamic characteristics of the control system, and difficult Control to achieve the expected effect and other problems, to solve the adaptive problem, facilitate training, and improve the applicability of the effect

Active Publication Date: 2021-12-10
CHANGZHOU JIABO MACHINERY MFG
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Problems solved by technology

[0003] In the traditional PID algorithm control process, the control parameters are fixed, the ability to adjust the dynamic characteristics of the control system is limited, the response speed is slow, the dynamic response is poor, and the processing effect on the uncertainty and nonlinear conditions of the brushless DC motor system is not good. , it is difficult to achieve the desired effect in the control

Method used

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  • Brushless DC motor fuzzy PID control method based on neural network matrix
  • Brushless DC motor fuzzy PID control method based on neural network matrix
  • Brushless DC motor fuzzy PID control method based on neural network matrix

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Embodiment Construction

[0037] Such as figure 1 and figure 2As shown, in the control system, that is, the brushless DC motor double closed-loop speed control system, the inner loop current loop adopts typical PI control, and for the speed loop, a brushless DC motor fuzzy PID control method based on neural network matrix is ​​adopted. The method steps are as follows:

[0038] S1. Building a classic fuzzy PID controller: PID parameters , , The initial value of is adjusted to the vicinity of the control system operating parameters according to experience, and the fuzzy rules are set in a classical way (such as Figure 3-Figure 5 shown), adjust the corresponding correction value The output membership function quantifies the value to obtain different control effects;

[0039] S2. Collection of sample data: Obtain different system load parameters , peak time and the maximum overshoot The corresponding correction value in the fuzzy controller under the condition The output membership func...

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Abstract

The invention relates to the technical field of brushless DC motor rotating speed control, provides an intelligent fuzzy control method capable of conveniently adjusting the dynamic performance of a control system, which is particularly suitable for setting of driving modes of electric bicycles and electric automobiles, and particularly relates to a brushless DC motor fuzzy PID control method based on a neural network matrix. The method comprises the following steps of: S1, constructing a classic fuzzy PID controller; S2, collecting sample data; S3, constructing a neural network matrix; S4, generating a neural network fuzzy controller; and S5, freely setting the performance index of the control system, and adjusting an output membership function quantized value corresponding to a corrected value in the fuzzy controller by the neural network matrix according to a training result so as to meet a control requirement. Through the combination of the neural network matrix and fuzzy control, the dynamic performance of the control system is adjustable, and the universality is high.

Description

technical field [0001] The invention relates to the technical field of speed control of a brushless direct current motor, in particular to a fuzzy PID control method of a brushless direct current motor based on a neural network matrix. Background technique [0002] Brushless DC motors are widely used in aerospace, electric vehicles, and industrial automation due to their high reliability, high efficiency, noiseless operation, long service life, and low maintenance costs. Speed ​​regulation is an important aspect of brushless DC motor research. For precise speed and position control applications, a controller with good performance is required to achieve speed control and regulation. The brushless DC motor itself has the characteristics of multi-variable, nonlinear and strong coupling, and the fuzzy control does not need to establish an accurate mathematical model for the controlled motor and has strong robustness, making it very suitable for the brushless DC motor. speed reg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P6/34H02P6/08H02P23/00G06N3/04G06N3/08
CPCH02P6/34H02P6/08H02P23/0018H02P23/0013H02P23/0027G06N3/08G06N3/084G06N3/043G06N3/048G06N3/045
Inventor 蒋建伟申立群
Owner CHANGZHOU JIABO MACHINERY MFG
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