Application of Taguchi Method to Grey-Fuzzy Controller Design of Active Suspension System

• Main Authors: Lee, Feng-Zhi, 李縫治
• Other Authors: Chou, Jyh-Horng
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/74902346346128621568

碩士 === 國立雲林科技大學 === 機械工程技術研究所 === 85 === 　　This thesis presents a new control scheme for designing the active suspension system. the new control scheme proposed in this thesis is named as the grey-fuzzy control method. The grey-fuzzy control scheme consists of two parts: the grey predictors and the fuzzy logic controller. The grey-fuzzy control method not only can attenuate the excessive tire deflection, but also can regulate the motion of the sprung mass to move along a horizontal line for providing the better ride quality. When we use the grey-fuzzy control scheme to design the active suspension system, it is necessary to adjust the control parameters of both grey predictors and fuzzy controller (i.e., the sample sizes of grey predictors and scaling factors of fuzzy controller). Therefore, in order to search for the optimal control parameters by way of systematic reasoning, Taguchi method is also applied in this thesis to search for the near optimal control parameters of both grey predictors and fuzzy controller. Computer simulations are performed to verify the effectiveness by the above grey-fuzzy control scheme. It is shown that the satisfactory performances have been achieved by such grey-fuzzy control scheme.