摘要
针对汽车在制动环节中的纵向稳定性问题,根据其受力情况,建立了1/4车辆单轮模型,并在对传统控制器模型特点进行分析的基础上,优化设计了基于参数自适应的模糊PID控制器模型。利用Matlab针对不同控制方法进行仿真分析,结果显示:改良后的模糊PID控制器模型在其鲁棒性、控制精度、反应灵敏度、智能控制化方面有着较为明显的优势。这为进一步改进该控制器模型的模糊规则与控制算法方面提供了一定的参考。
In order to save the problem with the longitudinal stability process, we have established a quarter of the vehicle single-wheel model of the car in the braking through the vehicle force What＇s more, a fuzzy PID controller model based on parameter adaptive is designed and optimized based on the analysis of the characteristics of the traditional controller models. We use the Matlab for different control methods to simulate and analyze. Finally, the results show that the improved fuzzy PID controller model has obvious advantages in its robustness, control precision, reaction sensitivity and intelligent control, which provides a certain degree of reference for further improving the fuzzy rules and control algorithms of the control model.
出处
《重庆理工大学学报（自然科学）》
CAS
2017年第7期63-68,共6页
Journal of Chongqing University of Technology：Natural Science
基金
重庆市自然科学基金资助项目(CSTC2007BB3410)
重庆市科技人才培养计划(新产品研发团队)资助项目(CSJ2013KJRC-TDJS40012)
