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作 者:曹占勇 何锋[1] 徐柱 李惠林[1] CAO Zhanyong;HE Feng;XU Zhu;LI Huilin(School of Mechanical Engineering,Guizhou University,Guiyang 550025,Guizhou,China)
机构地区:[1]贵州大学机械工程学院
出 处:《电气传动》2020年第1期91-94,共4页Electric Drive
基 金:贵州省科技计划项目(黔科合支撑(2018)2177);贵州大学研究生创新基金(研理工(2015)022)
摘 要:针对电动汽车由于传动系低阻尼特性产生的转矩波动问题,在Matlab/Simulink平台上搭建了基于永磁同步电机矢量控制策略的传动系扭振仿真模型,在电机速度环设计出模糊自整定PID控制器和神经网络PID控制器,以提高电机控制器的响应速度和抗干扰能力。仿真结果表明:运用机电耦合的建模方法能够有效揭示电动汽车传动系的动力学特性;通过模糊逻辑方法或者神经网络算法对PID控制器进行参数整定,能够改善由突变负载和突变控制信号引起的传动系转矩波动问题。In view of torsional vibration caused by electric vehicle low-damping characteristic,the driveline simulation model was constructed in Matlab/Simulink platform based on permanent magnet synchronous motor with vector control strategy.A fuzzy self-tuning PID controller and a neural network PID controller were designed to improve the response speed and anti-interference ability of the motor controller.The results show that the electro-mechanical coupling modeling method can effectively reveal the dynamic characteristics of electric vehicle driveline,and using fuzzy logic method and neural network algorithm to tune PID controller can contribute a lot to solve the torque ripple problem caused by mutation load and mutation control signal.
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