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作 者:刘洪涛 严世榕[1,2] 张甫圆 LIU Hongtao;YAN Shirong;ZHANG Fuyuan(College of Mechanical Engineering and Automation,Fuzhou University,Fuzhou,Fujian 350108,China;College of Artificial Intelligence,Yango University,Fuzhou,Fujian 350015,China)
机构地区:[1]福州大学机械工程及自动化学院,福建福州350108 [2]阳光学院人工智能学院,福建福州350015
出 处:《福州大学学报(自然科学版)》2020年第6期741-746,共6页Journal of Fuzhou University(Natural Science Edition)
基 金:福建省科技厅区域重大专项基金资助项目(2017H4028);福州科技局校企合作项目(2018-G-76)。
摘 要:以纯电动汽车采用的内置式永磁同步电机为研究对象,探讨在提高电机的运行效率、扩宽转速范围的同时,又能在复杂工况中提升响应速度并改善行驶舒适性的问题.首先建立数学模型,提出低速时采用最大转矩电流比控制,中高速时采用弱磁控制的全速域电流控制策略,并分析得到各个控制求解的数学模型.然后对数学模型进行离散化处理,得到状态空间方程,并以此为基础设计模型预测控制的转速控制器和无差拍预测控制的电流控制器.最后在Matlab/Simulink中搭建的仿真模型,验证整个控制策略的有效性与可靠性.Taking the built-in permanent magnet synchronous motor(IPMSM)used in pure electric vehicles as the research object,while improving the operating efficiency of the motor and widening the speed range,it can also improve the response speed in complex working conditions and improve driving comfort.First,the mathematical model of IPMSM is established,and the maximum torque per ampere(MTPA)control is adopted at low speed,and the full-speed current control strategy of flux weakening(FW)control is adopted at medium and high speeds,and the various analysis is obtained control the mathematical model of the solution.Then,the IPMSM mathematical model is discretized,and the state space equation is obtained.Based on this,the model predictive control(MPC)speed controller and the deadbeat predictive control(DPC)current control are designed.Finally,a simulation model of IPMSM is built in Matlab/Simulink to verify the effectiveness and reliability of the entire control strategy.
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