| 基于改进萤火虫优化算法的汽车悬架PID控制 |
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| 引用本文： | 李 胜,孙艺瑕,刘建均.基于改进萤火虫优化算法的汽车悬架PID控制[J].教育技术导刊,2020,19(4):179-182. |
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| 作者姓名： | 李 胜 孙艺瑕 刘建均 |
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| 作者单位： | 上海工程技术大学 机械与汽车工程学院，上海 201600 |
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| 基金项目： | 国家自然科学基金青年项目（11602135） |
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| 摘 要： | 为了获得更好的汽车平顺性，构建1/4汽车主动悬架模型，采用悬架动挠度、车身动位移、轮胎动载荷和轮胎垂直速度等4项指标进行近似衡量，提出基于改进萤火虫优化算法（FA）的汽车悬架PID控制，并与基于LQR控制、基于Fuzzy-PID控制下的汽车悬架平顺性进行对比。仿真结果显示，基于改进FA优化的PID控制的4项指标峰值均大幅降低，峰值最高下降36.1%，证明基于改进萤火虫优化算法的PID控制可提高汽车平顺性能。
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| 关 键 词： | LQR控制 Fuzzy-PID控制 汽车悬架系统 FA-PID控制 |
| 收稿时间： | 2019-06-18 |
PID Control of Vehicle Suspension Based on Improved Firefly Algorithm Optimization |
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| LI Sheng,SUN Yi-xia,LIU Jian-jun.PID Control of Vehicle Suspension Based on Improved Firefly Algorithm Optimization[J].Introduction of Educational Technology,2020,19(4):179-182. |
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| Authors: | LI Sheng SUN Yi-xia LIU Jian-jun |
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| Institution: | School of Mechanical and Automotive Engineering， Shanghai University of Engineering Science， Shanghai 201600， China |
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| Abstract: | A quarter vehicle active suspension model is established in this paper. In order to obtain better vehicle ride comfort， the four indexes of suspension dynamic deflection， body dynamic displacement， tire dynamic load and tire vertical speed are used for approximate measurement. PID control of vehicle suspension based on improved firefly optimization algorithm （FA） is proposed， and the ride comfort of vehicle suspension based on PID control is compared with LQR control and Fuzzy-PID control. The simulation results show that the peak values of suspension dynamic deflection， body acceleration， tire dynamic load and tire speed of the vehicle based on the PID control optimized by the improved FA are greatly reduced， with the peak value falling by 36.1%， which proves the superiority of improving the ride comfort of the vehicle based on the improved firefly PID control. |
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| Keywords: | LQR control Fuzzy-PID control vehicle suspension system FA-PID control |
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