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  • 學位論文

田口方法運用於主動式懸吊系統參數設計之研究

Application Taguchi Method to Design Each Parameter of Active Suspension System

指導教授 : 紀岍宇

摘要


本研究嘗試使用田口方法來分析主動式懸吊系統的各項參數,目的是為了使車輛能有一個性能優良的懸吊系統,讓車輛在各種路況行駛時能獲得更高的舒適性。在本研究中選定出懸吊系統中的可控因子(Control Factor),運用L9(34)直交表來實驗設計並運用望小(The-Smaller-the-Better)品質特性所產生的SN比,來發現那些因素的改變會影響懸吊系統的性能。以田口法而言,它確實提供了一個既省時又有效的實驗法則,能夠以盡可能減少的模擬次數,並能透過量的分析找出影響模擬結果的主因,本文中是以分析懸吊系統依車身垂直位移量及懸吊系統反應時間為基準的統計表,找出各項參數的最佳設定,經過模擬分析所選擇出來的參數確實能降低車身的起伏,提高車輛的舒適性。

並列摘要


The research use Taguchi method to design parameters of active suspension system. The main purpose is enable the car to have a suspension system of superiority function, lets the car which can obtain a higher comfortableness for different kinds of parameters. This research optimize the control factors of suspension system, utilizes L9(34) Orthogonal Array table to do experimental design. It also utilizes The-Smaller-the-Better quality characteristics produce the SN ratio, discovered that these factors' change can affect the suspension system's performance. As to Taguchi Method, which truly provides both time-saving and the effective experiment principle, reduces simulation frequency as far as possible. Through the quantity analysis to discover the influence simulate result the principle factor. The research analyzes suspension system according to the automobile body vertical displacement quantity and the suspension system reaction time as the datum statistical table, discovers each parameter the best hypothesis. Through simulation analysis, the parameter was chosen to be able to reduce automobile body's fluctuation truly, enhances vehicles' comfortableness.

參考文獻


1. T. D. Gillespie, Fundamentals of Vehicle Dynamics, Society of Automotive Engineers, Inc. Warrendale, PA., 1992.
2. W.H.Crouse & D.L.Anglin,’汽車學(二)-汽車驅動系統與底盤’,美商麥格羅.希爾國際股份有限公司,1997
3. M. Appleyard and P.E Wellstead, “Active Suspension:Some Background” IEE Proc,-Control Theory Appl., Vol.142, No.2, pp.123-128, March 1995.
4. S.D. Farrall, A.S. Cherry, and R.P. Jones, Fuzzy Control Applied to Automotive Vehicles. The Institution of Electrical Engineers. 1993.
5. A.S. Cherry, and R.P. Jones, Fuzzy Logic Control of an Automotive Suspension System. IEE Proc.-Control Theory Application, vol. 142, no.2,1995.

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