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基于PID控制器的麦弗逊悬架联合仿真研究

Co-simulation Research of Macpherson Suspension Based on PID Controller
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摘要 通过实验测出磁流变阻尼器在不同电流作用下的力与速度关系的阻尼系数特征数据,将阻尼数据导入到麦弗逊悬架多体动力学模型中模拟真实悬架的工作状态,计算簧载质量速度及其变化率作为主动悬架控制的输出量;半主动悬架采用PID控制器;在MATLAB搭建悬架系统联合仿真模型,计算结果表明:采用PID控制器在各不同车速阶段对改善悬架的总体性能有明显作用,车身垂直加速度、悬架动行程、俯轮胎动行程在低频阶段改善突出,提升整车在不同车速范围内乘坐舒适特性。 MRF damper damping characteristic data at different current role of force and velocity is measured through experiment. The real state of suspension of work is simulated by importing data into McPherson suspension damping multi-body dynamics model. Sprung mass velocity and its rate of change as the active suspension control output is calculated. PID controller is adopted in semi-active suspension, suspension system co-simulation model is built in MATLAB. The results show that: the use of PID controller in various stages of vehicle speed plays a significant role in order to improve the overall performance of the sus- pension, Vertical body acceleration, suspension dynamic travel, overlooking the tire dynamic stroke are improved prominently in the low fxequencies, which can enhance the characteristic of vehicle-riding comfort in different speed ranges.
出处 《三明学院学报》 2016年第6期51-56,共6页 Journal of Sanming University
基金 福建省省属高校科研专项基金(JK2014048)
关键词 磁流变阻尼器 麦弗逊悬架 路面模型 PID 联合仿真 MRF damper Macpherson suspension road model PID co-simulation
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  • 1邵瑛.车辆主动悬架自适应模糊PID控制[J].汽车科技,2004(5):11-13. 被引量:10
  • 2姚嘉伶,蔡伟义,陈宁.汽车半主动悬架系统发展状况[J].汽车工程,2006,28(3):276-280. 被引量:58
  • 3[美]DORF R C,BISHOP R H著.现代控制系统[M].谢红卫,邹逢兴,张明,等,译.北京:高等教育出版社,2003:345-383.
  • 4冯冬青.模糊智能控制[M].北京:化学工业出版社,2003:88-90.
  • 5周云山,钟勇.汽车电子控制技术[M].北京:机械工业出版社,2008:161.
  • 6余志生.汽车理论[M].北京:机械工业出版社,2005.
  • 7Yoshimura T,Emoto Y.Steering and suspension system of a full car model using fuzzy reasoning based on single input rule modules[J].International journal of Vehicle Autonomous Systems,2003,1(2):237-254.
  • 8Ghoneim Y,Lin W.Intergrated chassis control system to enhance vehicle stability[J].International journal of Vehicle Design,2000,23(1/2):124-144.
  • 9Naoto Oh Kubo,Takehiro Horiuchi.Brake Torque Sensing for Enhancement of Vehicle Dynamics Control Systems[J].SAE Technical Papers,2007(1):867.
  • 10Moroine Laoufil,Azim Eskandrian.Fuzzy logic control for active suspension of a nonlinear full vehicle model[C].IEEE IV2009,Xian,China,2009:677-684.

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