Robust engine speed control based on Takagi-Sugeno fuzzy systems

The engine Takagi-Sugeno(T-S) models were obtained by sector nonlinearity based on the nonlinear two-stroke internal combustion engine model.A nonlinear engine speed controller was researched, and the system augmented method was used for the design of control algorithm without steady-state error.By considering the robust H∞, a disturbance rejection controller design for the T-S fuzzy models was presented.The stability conditions were derived using Lyapunov approach, and the problems were formulated as linear matrix inequality(LMI) problems.Finally, simulation results demonstrate the validity of these methods.