刘欣博,刘帆,施俊甫
LIU Xinbo,LIU Fan,SHI Junfu

• 1:北方工业大学

摘要(Abstract)：

传统交流恒功率负载模型的主电路未考虑滤波器优化，且电流内环控制应用PI（比例积分）调节器，调节速度较快时会引起严重超调，导致模型的通用性较差，暂态过程不准确。MPC（模型预测控制）动态响应快、超调较小、容易实现，为交流恒功率负载模型的电流内环引入MPC能够显著提高模型的暂态性能。因此，结合传统PI控制和MPC的优势，提出一种新的交流恒功率负载优化控制策略，电压外环控制应用PI调节器，电流内环控制应用MPC，主电路由交流侧带LCL滤波器的PWM（脉冲宽度调制）整流电路与电阻共同构成，LCL滤波器根据电感总量、电容和谐振频率进行设计。通过MATLAB仿真，在交流恒功率负载模型上分别应用所提出控制策略和电压、电流双PI控制策略进行对比，结果表明应用所提控制策略的交流恒功率负载模型有效提高了系统的鲁棒性，在受到干扰时具有快速恢复能力，且LCL滤波器能有效减小交流侧电流谐波失真，提高电能质量。
The main circuit of a traditional AC constant power load model takes no account of filter optimization,and the PI(proportional integral)regulator is used in the inner loop of current control. In case of high regulation speed,severe overshoot may occur,resulting in poor model universality and inaccurate transient process. Characterized by its quick dynamic response,small overshoot and achievability,MPC(model predictive control)introduced into current inner loop of AC constant power load model can improve its transient performance. By combining the advantages of traditional PI control and MPC,the paper proposes a new AC constant power laod optimization control strategy—the PI regulator is used for voltage outerloop control,and MPC is used for current innerloop control;the main circuit consists of PWM-based(pulse width modulation)rectifying circuits with LCL filters at AC side and resistors. LCL filters were designed according to the overall inductance,capacitance and resonance frequency. The proposed control strategy and voltage/current PI control strategy were applied to AC constant power load model. The results show that the model using the proposed control strategy improves system robustness and can recover in shorter time after interference;the LCL filters can diminish current harmonic distortion at AC side and enhance the power quality.

关键词(KeyWords)： 交流恒功率负载;模型预测控制;比例积分控制;LCL滤波器
AC constant power load;model predictive control;PI control;LCL filter

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目（2021YFE0103800）;; 北京市教委科技项目（KM201910009010）

作者(Author): 刘欣博,刘帆,施俊甫
LIU Xinbo,LIU Fan,SHI Junfu

DOI: 10.19585/j.zjdl.202207005

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