灰色與模糊理論運用於車輛主動式懸吊系統與內彈道之分析研究

• Main Authors: Wu Hsui-Chih, 吳修志
• Other Authors: 曹魯屏
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/51717491167174223071

博士 === 國防大學中正理工學院 === 國防科學研究所 === 91 === This paper is consisted of two subjects. The first one deals with active suspension system; the second is about the interior ballistic problem. First, this paper presents a new control scheme for designing active suspension system which is known as the grey-fuzzy control methodology. The grey-fuzzy control scheme consists of two parts; they are grey predictor and the fuzzy logic controller in sequence. Through grey predictor the system can predict the oscillation of the vehicle. With prediction, the actuator is able to anticipate rather than react on the oscillation. The passengers will feel more comfortable and higher quality of ride along with enhanced safety in the vehicles adopting grey-fuzzy controller. This paper shows that the grey-fuzzy control system reduces the oscillation of the vehicle more efficiently and achieves higher performance. Secondly, in traditional weapon system field, the fire rate can be adjusted by changing the size of exhaust area and the position of exhaust of gas cylinder. The purpose of this study is to reduce unnecessary ammunition consumption during weapon development test and evaluation. This paper shows that after taking some test firing data, the grey prediction can help researchers and developers to decide the optimal region of the area of exhaust and the position of the exhaust. Through the Grey relational analyzing, the factors such as “time span of piston staying at the end of the cylinder”, “fire rate” and “velocity of piston at the end of the piston stroke” can also be graded.