Research On Optimal Matching And Drive Control Performance Of Aircraft Tactor's Drive System

The increasingly serious energy and environmental issues, highlight the importance of the development of high-performance, environmentally friendly vehicles. For the plate transport special vehicle category, just like powerful platform trucks, aircraft tractors etc, considering the convenience of the general layout and the need of multi-wheel drive, the use of constant pressure network hydrostatic transmission system as the chassis support technology, accessing the hydraulic accumulator into the power resource part to reduce the capacity to install the engine, are of practical significance for energy conservation and environment protection. In this paper, the"wheel drive"technology based on the"secondary regulation"concept is applied to the tow bar-less aircraft tractor, whose drive system is studied and analyzed in depth and breadth.After consulting a large number of relevant literatures and reference materials at home and abroad, this paper summarizes the development of constant pressure network hydrostatic transmission technology. Drive system's mathematical model and backward simulation model are established respectively after describing the working principle of constant pressure network hydrostatic transmission vehicles.Adaptive simulated annealing genetic algorithm is used to optimize the matching between the key components of the system and its operating parameters on the basis of analyzing the aircraft tractor's actual constraints, its performance and design specifications and the interaction of drive system components. Works on the established simulation model are to verify the rational of the optimization results and the effectiveness of the algorithm.Furthermore, the kinematics and resistances are analyzed according to the tractor's different driving conditions, in order to establish the precise resistance moment model, which joins the vehicle's simulation model. The speeds of the driving wheel are identified right later.As to deal with the robust control problems against wide range parameter uncertainty, strong nonlinear and serious disturbance of constant pressure network hydrostatic transmission system, RBF neural based sliding mode control method is employed to design the robust controller. The speed tracking simulation studies with comparison of different algorithms under four-wheel drive turning condition verify the controller's performance.Finally, the pump/motor's speed control experiments are done on constant pressure network hydrostatic transmission test platform. The experimental results of RBF neural based sliding mode robust controller compared with PID controller further validate the effectiveness of robust controller design.