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Fuzzy control is used for an aircraft glide-path control, as a nonlinear dynamic system. For the construction of a model-based fuzzy controller, the characteristics of the desired landing trajectory are defined, and an equivalent Takagi-Sugeno (T-S) fuzzy flight model is obtained. Using the LQR method, state feedback gains are derived for locally linearized subsystems, and applied in a Parallel Distributed Compensation (PDC) framework, so that the desired landing trajectory could be achieved. Controller is shown to be capable of controlling the nonlinear model in present of wind as a disturbance and control strategy overcomes successfully.
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on (Volume:5 )
Date of Conference: 16-18 April 2010