Experimental study on fuzzy skyhook control of a vehicle suspension system using a magnetorheological fluid damper

Abstract

Skyhook control is an effective control strategy for suppressing vehicle vibration. It is typically classified as onoff skyhook control and continuous skyhook control. In this study, a fuzzy skyhook control is proposed. It combines the fuzzy logic theory with the skyhook principle to improve control performance. In order to compare performance of each control strategy, an experimental study is prepared utilizing a quarter car model of highmobility multi-purpose wheeled vehicle (HMMWV) with a controllable magneto-rheological fluid (MRF) damper. The experimental results under rough road excitation demonstrate that the fuzzy skyhook control offers more robust suspension performance over the continuous skyhook control while still out performing the on-off skyhook control. The system model-independent fuzzy skyhook control is simpler and provides some robust advantages for real application as compared to the system model-dependent continuous skyhook control.

Development of a systematic and practical methodology for the design of vehicles semi-active suspension control system

“…In the case of the Fuzzy controller, the outcome (Equation (13) or (14)) is a simple continuous representation of the original Skyhook control strategy with a few lines of code that is simply embedded in a low-cost micro controller. By tuning the membership function parameters (see Equations (4) and (5)), sensitivity and smoothness of the Fuzzy Skyhook controller can also be altered and adjusted. q changes the membership function growth or decay rate.…”

“…Then, develop the vehicle's vertical model state-space realisation (see Equation (2)), accordingly. (3) Determine and adjust the parameters of the input Fuzzy sets (see Equations (4) and (5)). …”

“…Extensive theoretical and experimental studies of the performances of different types of semi-active Skyhook(-Groundhook) controllers can be found in the literature [3][4][5][6][7][8][9]. Nevertheless, the controller upper and lower gains; that is c max and c min are usually determined by trial-and-error, and there is no systematic method to adjust them.…”

Development of a Fuzzy Sky-hook Algorithm for a Semi-active ER Vehicle Suspension Using Inverse Model

“…Liu et al showed that the control performance of semi-active suspension system could be better than on-off control when proper fuzzy logic which depicts the skyhook algorithm is used [9], [10].…”

Experimental study on fuzzy control of a HMMWV suspension system using magneto-rheological fluid damper

“…A fail-safe MRF damper is utilized for vibration suppression of the HMMWV suspension [10][11][12][13]. The fail-safe MRF damper can produce a damping force nearly the same as an OEM damper at its off state (zero electric input current) and provide sizable dynamic force range to allow controllability (with the supply of electrical current).…”