Design And Optimization Of Driving Control Strategy For Airport Electric Baggage Tractor

To accelerate the construction of smart airports,vigorously promoting the use of new energy equipment and vehicles has become an important task of domestic airports in recent years.Due to the existence of special driving conditions such as heavy load towing,creeping approaching,and creeping docking,the performance requirements of airport special vehicles are constantly improved.This article takes the electric luggage tractor under special working conditions such as heavy load traction and wriggling driving as the research object,designs and optimizes the drive control strategy,software debugging is carried out through hardware benches to achieve precise control under different operating conditions.First of all,based on the operating conditions of the airport,"Civil Aviation MH/T6048-2020 Luggage/Cargo Tractor" as the standard,combined with the specific requirements of the civil aviation airport unit,Parameter matching design for the drive assembly of the electric luggage is carried out in this paper.It mainly includes key parameters such as motor,battery and transmission ratio,and then builds the vehicle dynamic simulation model based on Simulink,and formulates two working conditions of the luggage tractor with the no-load operation and full-load operation,and imports it into the Advisor for co-simulation to verify the feasibility of the drive-set selection.After the selection is correct,the vehicle drive control strategy is reasonably designed,which is mainly divided into drive torque control strategy and drive motor control strategy.The drive torque control strategy is designed in this paper,starting conditions,normal driving conditions,creeping driving conditions,coasting/braking conditions,and fault handling strategies.And then,the control strategy of driving motor is improved reasonably,and the following control strategy is proposed: the control strategy of maximum torque current ratio combined with weak magnetic field based on torque control when the vehicle is running normally,and double closed-loop fuzzy PI control strategy based on speed control for vehicle creeping driving.Finally,the optimized vector simulation model is built for verification.After the improvement strategy design is completed,the application layer software structure design of the control strategy is carried out by using the position machine software.It includes two parts: the vehicle controller and the motor controller.Finally,the performance verification is carried out to verify the feasibility of the improved control strategy by collecting the main parameters such as current and speed,and it is more beneficial to realize the stability and economy of the whole vehicle than the simple control strategy.