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The Application Of Embedded PDC Controller In Semi-active Suspension System

Posted on:2009-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:T YangFull Text:PDF
GTID:2132360242997779Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Suspension is one of the important assembly in vehicle system, it is a flexible component to connect axles and wheel and to ensure that vehicles travelling comfortable and safety. With damping parameters couldn't adjust, traditional passive suspension is difficult to fit modern vehicles for shocking absorption and traffic safety requirements, while active suspension system could overcome these shortcomings, but because of its cost, it is difficult to promote in industry. These years, with the development of electronic technology, semiconductor technology and the rapid development of computer technology, people focus on electronically controlled suspension research in order to raise the comprehensive performance of vehicle suspension. Using embedded computing technology, adjustable damping control of the semi-active suspension with its low cost, simple structure and good damping effect has a high research value and prospects.Mostly, the semi-active suspension fuzzy controller rules, are acquired by designers or experts in accordance with their experience. In some system, with designers and experts limitations, the rules can not guarantee optimal control or sub-optimal performance. The self-learning neural network has the ability to learn through training by the experience, and generates these control rules, so the controller can significantly improve its adaption.Firstly, this paper discusses the PDC distribution of compensation theory, using it we connect these various independent suspension subsystems model with membership function.All of this parts constitute a whole dynamic fuzzy model of a vehicle. Through various subsystems of different weights to reflect their contribution to the dynamics system.Secondly, adaptive neural network (ANFIS) and the fuzzy controller algorithm are transplanted to the ARM7TDMI processor and the algorithm is debugged and optimizeed.Finally, we also transplant the MiniGUI graphics library based on uCLinux embedded operating system,and design the human-machine interface based on MiniGUI for convenience observation to the control system.
Keywords/Search Tags:Semi-active suspension, parallel distribution of compensation, adaptive neural network, T-S fuzzy controller, ARM processor, uCLinux embedded operating system, MiniGUI graphics library
PDF Full Text Request
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