Research on an Improved Single Neuron PI Control Strategy

In the control system of AC variable frequency speed regulation of asynchronous motor, vector control method is adopted in most of them, and PI control strategy is usually used in speed loop of vector control system. For pulse load system, such as sports training treadmill, the parameters of PI cont...

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Bibliographic Details
Published in2020 International Conference on Computer Network, Electronic and Automation (ICCNEA) pp. 409 - 413
Main Authors Li, Lin, Luo, Mingshuai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2020
Subjects
Adaptive systems
Induction motors
Machine vector control
Mathematical model
MATLAB Simulation
Neurons
PI control
Pulse Load
Rotors
Single Neuron PI
Smooth Speed Regulation
Vector Control
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Summary:In the control system of AC variable frequency speed regulation of asynchronous motor, vector control method is adopted in most of them, and PI control strategy is usually used in speed loop of vector control system. For pulse load system, such as sports training treadmill, the parameters of PI controller in vector control system can't be modified timely according to the characteristics of pulse load, so it can't obtain high-efficiency smooth speed regulation characteristics. Therefore, a single neuron PI control strategy is proposed, which can improve the online performance of single neuron PI controller by establishing a learning algorithm of single neuron gain K Real time adjustment capability. The motor control system based on motion training treadmill is studied in this paper. The model of asynchronous motor vector control system is built in Matlab / Simulink environment. The PI algorithm and single neuron PI algorithm are compared, and the influence of single neuron PI algorithm on the control quality of the whole system is discussed.
DOI:10.1109/ICCNEA50255.2020.00090