Fuzzy pid control method for brushless DC motor based on neural network matrix

A brushless DC motor and neural network technology, applied in the field of brushless DC motor speed control, can solve the problem of poor handling of brushless DC motor system uncertainty and nonlinear conditions, limited ability to adjust the dynamic characteristics of the control system, and difficult In terms of control to achieve the expected effect and other issues, to achieve the effect of solving adaptability problems, facilitating training, and improving applicability

Active Publication Date: 2022-02-08
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

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  • Fuzzy pid control method for brushless DC motor based on neural network matrix
  • Fuzzy pid control method for brushless DC motor based on neural network matrix
  • Fuzzy pid control method for brushless DC motor based on neural network matrix

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Embodiment Construction

[0037] Such as figure 1 and figure 2 As 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 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 function quantizes t...

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Abstract

The invention relates to the technical field of speed control of brushless direct current motors, provides an intelligent fuzzy control method that can conveniently adjust the dynamic performance of a control system, is especially suitable for setting the driving modes of electric bicycles and electric vehicles, and particularly relates to a neural network matrix-based method for intelligent fuzzy control. The fuzzy PID control method of brushless DC motor, the steps are as follows: S1. Construct a fuzzy PID controller; S2. Collection of sample data; S3. Construction of neural network matrix; S4. Generation of neural network fuzzy controller; S5. Free setting To control the performance index of the system, the neural network matrix adjusts the quantized value of the output membership function corresponding to the correction value in the fuzzy controller according to the training result to meet the control requirements; the present invention makes the dynamic performance of the control system adjustable through the combination of the neural network matrix and the fuzzy control. , the versatility is strong.

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 Patents(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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