Single-neuron proportion integral differential control of brushless direct current motor

Yinkun Tang; Yusheng Ju II; Shihao Liu III

doi:10.1117/12.2640214

1 August 2022 Single-neuron proportion integral differential control of brushless direct current motor

Yinkun Tang, Yusheng Ju II, Shihao Liu III

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122573F (2022) https://doi.org/10.1117/12.2640214
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

In today's increasingly stringent emission requirements, the requirements for aftertreatment are also increasing. Controlling the motor in the post-processing system plays a key role. In this paper, the method of controlling the motor will be analyzed. When analyzing the traditional PID controller, it is found insufficient, so a new single neuron PID controller is used, which can better control the DC brushless motor than the former; the latter structure has better adaptability. The advantages and disadvantages of the two controllers are compared in the Simulink simulation of MATLAB, and it is concluded that the latter has a faster response speed and stronger adaptability.

Citation Download Citation

Yinkun Tang, Yusheng Ju II, and Shihao Liu III "Single-neuron proportion integral differential control of brushless direct current motor", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122573F (1 August 2022); https://doi.org/10.1117/12.2640214

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