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作 者:许北杨 于通 张明换 朱雅光 XU Beiyang;YU Tong;ZHANG Minghuan;ZHU Yaguang(School of Engineering Machinery,Chang’an University,Xi’an 710064,China)
出 处:《科技和产业》2025年第5期1-7,共7页Science Technology and Industry
基 金:陕西省重点研发计划(2024GX-ZDCYL-01-23);陕西省国防科技“揭榜挂帅”项目(SXGF2023J008)。
摘 要:针对矢量控制中采用传统的PI(比例-积分)控制策略控制永磁同步电机时动态控制性能较差,电机参数容易受到外界温度、负载等变化的影响,从而导致控制电机的精度和响应性较差的问题,提出一种模型预测控制方法来控制电机。该策略利用系统模型预测系统未来输入和状态,通过优化目标函数直接计算控制输入,显著提高动态性能和稳态精度,并且其处理非线性和参数变化能力强,可以很好地控制永磁同步电机这种非线性系统。根据仿真得到的波形图,模型预测控制在动态响应、抗干扰能力、低速运行性能及鲁棒性方面优于PI控制。因此,使用模型预测控制能够有效提升对永磁同步电机的控制性能。In order to solve the problem that the dynamic control performance of permanent magnet synchronous motor is poor when PI(proportional-integral)control strategy is used in vector control,and the motor parameters are easily affected by changes in external temperature and load,which leads to poor precision and responsiveness of the control motor,a model predictive control method is proposed to control the motor.This strategy uses the system model to predict the future input and state of the system,and directly calculates the control input by optimizing the objective function,which significantly improves the dynamic performance and steady-state accuracy.Moreover,with its strong ability to deal with nonlinearity and parameter changes,it can control the nonlinear system of permanent magnet synchronous motor well.According to the waveform diagram obtained by simulation,model predictive control is superior to PI control in dynamic response,anti-interference ability,low speed performance and robustness.Therefore,using model predictive control can effectively improve the control performance of permanent magnet synchronous motor.
关 键 词:永磁同步电机 模型预测控制 矢量控制 SIMULINK仿真
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