Abstract:

For a type of Takagi-Sugeno (T-S) fuzzy systems with normbounded parameter uncertainties, the problem of designing a guaranteed cost robust flight control law with constraints is researched allowing for the guarantee of the various performance indexes and variable constraints via the state feedback parallel-distributed compensation. A constraint fuzzy optimal guaranteed cost control theorem is proposed through modification of the input, output and state linear matrix inequality (LMI). A fuzzy system robust disturbance resistant theorem is also proved with the uncertainty matrix to overcome the parameter perturbation, and the constraint fuzzy optimal guaranteed perturbation immunity theorem is derived on the basis above. Finally, the aircraft T-S fuzzy model is found and the flight control laws satisfying the preceding three theorems are designed respectively. The simulation and comparison are given and the results validate its effectiveness.