基于模糊模型的车辆稳定性控制方法研究  

A Study on Stability Control of Vehicle Based on Fuzzy Model

作　　者：唐国元[1] 宾鸿赞[1] 

机构地区：[1]华中科技大学机械科学与工程学院,武汉430074

出　　处：《中国机械工程》2004年第22期2064-2067,共4页China Mechanical Engineering

摘　　要：采用系统辨识的方法建立车辆的模糊模型 ,从而将车辆非线性系统模型通过模糊化方法分解为若干线性子系统 ,系统的输出是这些线性子系统输出的加权和 ,提出了基于梯度下降法的模糊模型辨识算法。根据所建立的模糊模型推导了广义预测控制模型 (CARIMA) ,为车辆的稳定性控制问题的研究提供了新方法。运用该方法对车辆的制动转向工况进行了仿真研究 ,结果表明 。A fuzzy model of vehicle and its identification algorithm were presented based on gradient. In this way, the dynamic system was divided into many linear sub-systems, and the system output was weighted-sum of these sub-systems’ outputs. A CARIMA model can be derived from the presented fuzzy model ,and generalized predictive control(GPC) was applied to deal with the control problems of vehicle stability. A maneuvers combined braking and steering was simulated , the results show that fuzzy model based generalized predictive control can be applied to improve stability of the vehicle effectively.

关 键 词：模糊模型 系统辨识 广义预测控制 车辆稳定性 

分 类 号：U463[机械工程—车辆工程]