Fuzzy control for active suspensions

A methodology for the design of active car suspension systems is presented. The goal is to minimize vertical car body acceleration, for passenger comf ort, and to avoid hitting suspension limits, for component lifetime preserv ation. A controller consisting of two control loops is proposed to attain t his goal. The inner loop controls a nonlinear hydraulic actuator to achieve tracking of a desired actuation force. The outer loop implements a fuzzy l ogic controller which interpolates linear locally optimal controllers to pr ovide the desired actuation force. Final controller parameters are computed via genetic algorithm-based optimization. A numerical example illustrates the design methodology. (C) 2000 Elsevier Science Ltd. All rights reserved.