| 基于改进型粒子群算法的全扭矩换挡冲击抑制研究 |
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| 引用本文： | 龚俊杰,谷金良,龚莎,蔡志华.基于改进型粒子群算法的全扭矩换挡冲击抑制研究[J].农业装备与车辆工程,2021(3). |
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| 作者姓名： | 龚俊杰 谷金良 龚莎 蔡志华 |
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| 作者单位： | 湖南科技大学机电工程学院 |
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| 摘 要： | 对于无离合器电控机械式自动变速器(AMT)电动汽车而言,提升换挡品质、减小车辆换挡时冲击度一直是研究的热点问题。本文针对全扭矩换挡过程中对车辆冲击度影响最大的控制对象驱动电机,结合完全学习型粒子群算法搜索速度快、调节的参数少、对全局收敛能力强,且容易实现的优势,将其应用于永磁同步电机矢量控制的速度环调节器上。模拟整车空载和满载急加速急减速2种工况。实验结果表明,采用完全学习型粒子群算法优化后可以大大改善电机的输出性能,从而减小了电机对车辆的冲击度。
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| 关 键 词： | 永磁同步电机 矢量控制 完全学习型粒子群算法 冲击度 |
Research on Shift Impact Suppression of Electric Vehicle Based on Comprehensive Learning Particle Swarm Optimization |
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| Gong Junjie,Gu Jinliang,Gong Sha,Cai Zhihua.Research on Shift Impact Suppression of Electric Vehicle Based on Comprehensive Learning Particle Swarm Optimization[J].Agricultural Equipment & Vehicle Engineering,2021(3). |
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| Authors: | Gong Junjie Gu Jinliang Gong Sha Cai Zhihua |
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| Institution: | (School of Mechanical Engineering,Human University of Science and Technology,Xiangtan City,Hunan Province 411201,China) |
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| Abstract: | For the electric vehicles with electronic controlled automatic mechanical transmission(AMT)without clutch,it has been a hot issue to improve the quality of shift and reduce the impact of shift.The control object drive motor,which has the greatest impact on vehicle impact during the full torque shifting process,is applied to the speed loop regulator of PMSM vector control based on the advantages of comprehensive learning particle swarm optimization(CPSO),fast search speed,less adjusted parameters,strong global convergence and easy realization.It simulates two working conditions:no load and full load acceleration and deceleration.The experimental results show that the output performance of the motor can be greatly improved by using the comprehensive learning particle swarm optimization algorithm,reducing the jerk of the motor on the vehicle. |
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| Keywords: | PMSM vector control CPSO jerk |
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