电动教练车参数自整定模糊控制研究  

Research on Electric Learner-driven Vehicle Parameters Self-tuning Fuzzy Control

作　　者：陈希[1] 麻友良[1] 程胭脂 

机构地区：[1]武汉科技大学汽车与交通工程学院,武汉430081

出　　处：《科技通报》2016年第10期211-215,共5页Bulletin of Science and Technology

基　　金：武汉科技大学绿色制造与节能减排科技研究中心开放基金项目(B0922)

摘　　要：电动教练车能替代燃油汽车进行场地驾驶训练需要解决的关键问题是,对电动机进行特殊的控制,使之与发动机的机械特性相似。本文在传统模糊控制的基础上提出一种特殊的模糊控制方法,根据不同的路况引进修正因子进行参数修正,以完善电动教练车在不同路径的适应性。改善了电动教练车在不同弯道转向时的不稳定性,提高了其适应性和鲁棒性。Electric Learner-driven Vehicle to alternative fuel vehicles for site needs to solve is the key problem of driving training, to special electric-motor control, similar to that of the mechanical properties of the engine.Based on the traditional fuzzy control is put forward on the basis of a special kind of fuzzy control method, according to different road conditions is introducing correction factor to correct the parameters, to improve the electric coaches in the adaptability of different paths.Improved electric coaches in different corners to instability, improved its adaptability and robustness.

关 键 词：电动教练车 转向 修正因子 模糊控制 车速稳定 

分 类 号：U46[机械工程—车辆工程]