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Simultaneous Optimization Of Mechanical And Control Parameters For Integrated Control System Of Active Suspension And EPS

Posted on:2006-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:J Q ZhaoFull Text:PDF
GTID:2132360152490499Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Kinds of electronic control techniques and control systems are greatly developed and widely applied to improve ride comfort and handling stability of vehicles. All these control systems are aimed to improving one performance of vehicle, but the improvement of the whole dynamics of vehicle depends on the cooperative work among various control systems of chassis. Based on this point, this paper carries through the study of integrated control in active suspension system (ASS) and electric power steering system (EPS).They are two sub-control systems of chassis which directly influence ride comfort and handling stability of vehicles. First, the paper analyzes the relationship of ASS and EPS .Then, a model of a full vehicle is set up. With two kinds of integrated control modes, control each separately or with one LQG controller to carry out integrated control. Finally, this paper presents the method to integrate the structure and control parameters of ASS and EPS considering traditional design method of vehicle ASS and EPS always design control parameters following structure parameters and it can not obtain the global optimum performance for the system. Considering the parameters are much and the object function is complex, simulated annealing algorithm is chosen. The effectiveness of the proposed simultaneous optimization method to improve ride comfort and handling stability of vehicles is proved by theory analysis, simulation and test. The method can also be used in the field of chassis design or other mechanical and electrical system design.
Keywords/Search Tags:Active Suspension System, Electric Power Steering System, Integrated Control, Simultaneous Optimization, LQG Control, Simulated Annealing Algorithm
PDF Full Text Request
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