Grey-fuzzy control for active suspension design

This paper presents a new control scheme for designing the active suspension system. The new control scheme proposed in this paper 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 tyre deflection, but also can regulate the mol:ion 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 the grey predictors and the fuzzy controller (i.e., the sample sizes of the grey predictors and the scaling factors of the fuzzy controller). Therefore, in order to search for the optimal control parameters by way of systematic reasoning, Taguchi method is also applied in this paper to search for the near optimal control parameters of both the grey predictors and the fuzzy controller. Computer simulations are performed to verify the effectiveness by the above grey-fuzzy control scheme. It is shown the satisfactory performances have been achieved by such grey-fuzzy control scheme.