A Takagi-Sageno Fuzzy Model-Based Control Strategy for MR Semiactive Suspension with Asymmetric Actuator Saturation Constraint

A novel controller design is proposed for magneto-rheological (MR) semi-active suspension systems. To deal with the asymmetric actuator saturation constraint, the initial damper model featuring asymmetric saturation is converted into an equivalent model subject to symmetric saturation. Considering the nonlinear characteristics such as hysteresis and bi-viscosity inherent in MR dampers, based on the transformed damper model, the suspension system is then characterized as a T-S fuzzy system using the sector nonlinearity approach. Further, by defining a T-S fuzzy control law, the attenuation of heave responses is realized by satisfying a given H_∞ index. The control gains are derived through linear-matrix-inequality (LMI) optimization. Simulations under roads have verified the effectiveness of proposed controller on performance improvement and constraint satisfaction.