DECENTRALIZED NEURO-FUZZY CONTROL FOR HALF CAR WITH SEMI-ACTIVE SUSPENSION SYSTEM

被引：40
|
作者：
Eltantawie, M. A.
机构：
[1] Mechanical Engineering Department, Higher Technological Institute, 6th October Branch, Giza, Egypt
来源：
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | 2012年 / 13卷 / 03期
关键词：
ANF1S; Decentralized control; Neuro-fuzzy; RGA; RDG; ACTIVE SUSPENSION; MODEL;
D O I：
10.1007/s12239-012-0039-y
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, a decentralized neuro-fuzzy controller has been created in order to improve the ride comfort and increase the stability for half car suspension system, which used the magneto-rheological damper as a semi-active device. Firstly, relative gain array and relative disturbance gain methods have been used for deriving a relation between inputs, disturbances and outputs to select pairing with minimum interaction to design a decentralize controller. Secondary, decentralized neuro-fuzzy controllers for front and rear chassis are designed to predict the required damping force taking the acceleration of the sprung mass and desired acceleration obtained by using pole-placement method as inputs. To predict the control voltage required for producing the force predicted by the controller, the inverse neuro-fuzzy model of MR damper has been designed. Simulation by using MATLAB programs has been
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收藏
页码：423 / 431
页数：9
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