基于预测反馈的混合动力汽车制动机构模糊软切换控制技术
Fuzzy Soft Switching Control Technology for Hybrid Electric Vehicle Braking Mechanism Based on Predictive Feedback
黄波 1何健1
作者信息
- 1. 安徽汽车职业技术学院,安徽合肥 230601
- 折叠
摘要
汽车制动机构系统的模糊控制多采用耦合模型,由于缺少对控制器参数的优化,导致控制误差较大,整体控制效果不佳.为此,提出基于预测反馈的混合动力汽车制动机构模糊软切换控制技术.根据动力汽车制动机构系统的组成结构,分别建立传统制动模型与再生制动模型,利用最小二乘法将其拟合,得到制动系统的综合动力学模型.根据汽车运行的实际工况,分析模糊软切换方式与各工况的匹配度,以获取模糊控制器的权重系数,采用预测反馈机制设计汽车行驶路径指令,并通过优化控制器输入偏差与辨识参数,设计最佳控制策略.实验结果表明,所提方法的控制误差较小,控制效果更好.
Abstract
The coupling model is often used in the fuzzy control of automobile brake mechanism system.Due to the lack of optimization of controller parameters,the control error is large and the overall control effect is reduced.Therefore,a fuzzy soft switching control technology is proposed based on predictive feedback for hybrid electric vehicle braking mechanism.Ac-cording to the composition structure of the braking mechanism system of the power vehicle,the traditional braking model and the regenerative braking model were established respectively.The least square method was used to fit them,and the compre-hensive dynamic model of the braking system was obtained.According to the actual operating conditions of the vehicle,the matching degree between the fuzzy soft switching mode and each operating condition was analyzed,so as to obtain the weight coefficient of the fuzzy controller.The predictive feedback mechanism was used to design the vehicle routing instruction,and the optimal control strategy was designed by optimizing the input deviation and identification parameters of the controller.Experimental results show that the control error of the proposed method is small and the control effect is better.
关键词
预测反馈/混合动力汽车/制动机构/模糊软切换控制Key words
predictive feedback/hybrid electric vehicles/brake mechanism/fuzzy soft switching control引用本文复制引用
基金项目
安徽省自然科学基金(2020TY-875541)
出版年
2024
NETL
NSTL
万方数据