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Three-phase PWM Rectifier Voltage Control Based on Improved Single Neuron PI
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Tao XIA1, Liang LIU1, Yangfei ZHANG1, 2, Haitao LIU1, 2, Gaojun MENG1, 2
Electric Drive | 2024, 54(5) : 20 - 25
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Electric Drive | 2024, 54(5): 20-25
Three-phase PWM Rectifier Voltage Control Based on Improved Single Neuron PI
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Tao XIA1, Liang LIU1, Yangfei ZHANG1, 2, Haitao LIU1, 2, Gaojun MENG1, 2
Affiliations
  • 1 School of Electric Power Engineering，Nanjing Institute of Technology，Nanjing 211167，Jiangsu，China
  • 2 Jiangsu Collaborative Innovation Center for Smart Distribution Network，Nanjing 211167，Jiangsu，China
Published: 2024-05-20 doi: 10.19457/j.1001-2095.dqcd24368
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Aiming at the problem of large output voltage fluctuation and long recovery time of three-phase pulse-width modulation （PWM）rectifiers when the load changes，an improved single-neuron gradient learning control strategy was proposed. Due to the poor adaptability of the traditional PI controller parameters when the load changes，a single neuron PI control was adopted in the voltage outer loop，and the gradient descent method was used to adjust the weight parameters online. In order to avoid falling into a local optimal solution during the solution process，a stochastic gradient descent algorithm with restart function （SGDR）was used，and cosine annealing was used to change the learning rate of the weights to improve the convergence performance of the algorithm. Through Matlab and hardware-in-the-loop simulation experiments，the dynamic response performance of the voltage outer loop of the three-phase PWM rectifier under different control algorithms was compared and analyzed. The results show that the three-phase PWM rectifier controlled by the improved single neuron PI algorithm has smaller voltage fluctuation，faster dynamic response and more stable operating state when the load changes.

rectifier  /  voltage outer loop  /  single neuron  /  gradient learning  /  cosine annealing  /  load perturbation
Tao XIA, Liang LIU, Yangfei ZHANG, Haitao LIU, Gaojun MENG. Three-phase PWM Rectifier Voltage Control Based on Improved Single Neuron PI[J]. Electric Drive, 2024 , 54 (5) : 20 -25 . DOI: 10.19457/j.1001-2095.dqcd24368
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Year 2024 volume 54 Issue 5
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Article Info
doi: 10.19457/j.1001-2095.dqcd24368
  • Receive Date：2022-05-13
  • Online Date：2025-11-26
  • Published：2024-05-20
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  • Received：2022-05-13
  • Revised：2023-02-01
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    1 School of Electric Power Engineering，Nanjing Institute of Technology，Nanjing 211167，Jiangsu，China
    2 Jiangsu Collaborative Innovation Center for Smart Distribution Network，Nanjing 211167，Jiangsu，China
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