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| 基于改进粒子群算法的主动悬架模糊PID控制研究 | |
| 引用本文： | 黄麟,荆萃,赵翱东. 基于改进粒子群算法的主动悬架模糊PID控制研究[J]. 煤矿机械, 2012, 33(10): 39-41 |
| 作者姓名： | 黄麟 荆萃 赵翱东 |
| 作者单位： | 1. 无锡职业技术学院,江苏无锡,214121 2. 天津职业技术师范大学,天津300222;天津市劳动保障技师学院,天津300300 3. 江南大学物联网工程学院,江苏无锡214122;无锡职业技术学院,江苏无锡214121 |
| 摘 要： | 以1/4车体为对象分析了主动悬架的数学模型,针对传统的粒子群算法的缺陷改进了粒子群算法,设计了基于改进粒子群算法的车辆主动悬架的模糊PID控制器,利用MATLAB软件进行了仿真分析,结果表明新的控制方法有利于车辆稳定性的提高。 |
| 关 键 词： | 改进粒子群算法 车辆主动悬架 模糊PID控制器 |
Study on Fuzzy PID Control of Active Suspension Based on Improved Particle Swarm Algorithm |
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| HUANG Lin , JING Cu , ZHAO Ao-dong. Study on Fuzzy PID Control of Active Suspension Based on Improved Particle Swarm Algorithm[J]. Coal Mine Machinery, 2012, 33(10): 39-41 | |
| Authors: | HUANG Lin JING Cu ZHAO Ao-dong |
| Affiliation: | 1(1.Wuxi Institute of Technology,Wuxi 214121,China;2.Tianjin University of Technology and Education,Tianjin 300222,China;3.Tianjin Technician College of Labor Insurance,Tianjin 300300,China;4 School of IoT Engineering,Jiangnan University,Wuxi 214121,China) |
| Abstract: | The one-fourth of vehicle body is used as object to analyze mathematical model of active suspension,then the particle swarm algorithm is improved according to disadvantages of traditional particle swarm algorithm,then fuzzy PID controller of vehicle active suspension based on improved particle swarm algorithm is designed,the simulation analysis is carried out by MATLAB software,and results show that this method will be benefit for improvement of stability of the vehicle. |
| Keywords: | improved particle swarm algorithm vehicle active suspension fuzzy PID controller |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
