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The adaptive weight particle swarm optimization (AWPSO) and grey-based particle swarm optimization (GPSO) are applied to tune the matrix of controller parameters of the sliding surface. Fuzzy rules are applied to sliding mode controller to find the gain of the differential sliding function, sliding condition can be satisfied and stable control system can be achieved. PID controller is the main controller of the aircraft and it is also used for the FSMC controller in learning process. In this study, the proposed intelligent system can improve the ALS to against the wind disturbance and control aircraft landing in severe condition. 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