Information fusion based optimal control for large civil aircraft system

Area of Science:

• Aerospace Engineering
• Control Systems
• Flight Dynamics

Background:

• Wind disturbances pose significant risks to large civil aircraft during landing.
• Traditional PID control methods are insufficient for effectively restraining wind disturbances.
• Ensuring flight security and passenger comfort during landing is paramount.

Purpose of the Study:

• To develop an advanced control strategy for mitigating wind disturbances during aircraft landing.
• To improve flight security and riding comfort by maintaining stable attitudes and airspeed.
• To present an information fusion based optimal control strategy for anti-wind attitude control.

Main Methods:

• Development of a nonlinear model for a Boeing 707 aircraft.
• Linearization into longitudinal and lateral control models.
• Implementation of PID and C inner control for longitudinal stability.
• Design of an information fusion based optimal regulator for lateral control.
• Information fusion estimation incorporating hard and soft constraints.

Main Results:

• The information fusion optimal control strategy effectively restrains wind disturbances during landing.
• Simulation results demonstrate superior performance over traditional PID and LQR control methods.
• The proposed method maintains stable aircraft attitudes and airspeed under wind conditions.
• Enhanced flight security and riding comfort were observed in simulations.

Conclusions:

• Information fusion based optimal control offers a superior solution for anti-wind disturbance in large civil aircraft landings.
• This advanced control strategy enhances both flight security and passenger comfort.
• The developed method provides a significant improvement over existing control techniques for landing phase disturbance rejection.