Research

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Automated passenger boarding bridge (Aerobridge)

Objective


To develop a robust docking algorithm to guide the aerobridge based on optimal path planning and real-time feedback of the sensor measurement data.


Description

Up to date, the docking of aerobridge to aircraft is operated manually by qualified and licensed operators. In order to minimise manpower cost, the risk of aircraft damage and undesirable personnel injury due to human error, an effort has been made to develop a fully automated guidance module that enables automated drive of the aerobridge to the aircraft door up to 0.5m away. The final 0.5m alignment is to be remotely performed by the operator. Currently, the team has developed the docking algorithms, which are intended to guide the aerobridge operation from home position to pre-set position and from pre-set position to target position based on optimal path planning and the sensor feedback. By mean of a kinematic model of the aerobridge system, which describes the motion of the cabin end effector, simulation tests have been conducted to verify the performance of the docking algorithm. An investigation has also been made to determine the sensor system used for the positioning of the aircraft and aerobridge. Going forwards, the docking algorithm and associated user interface are to be tested using an actual aerobridge on an aircraft mock-up.  

                                   
                                               Automated Passenger Boarding Bridge (Aerobridge)                                                 





Demonstration Video





Principal Investigators


Associate Prof. Wang Jianliang (NTU)

Telephone: 6790 4846
Office: S2-B2b-48
Email: ejlwang@ntu.edu.sg
Mr. Paul Tan (STE)

Telephone: 6660 1052
Office: S1-B4a-03
Email: paultan@stengg.com

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