Optimization And Test Verification Of A Drone Landing Gear's Buffer Performance

The landing gear is one of the main load-bearing parts during the take-off and landing of an aircraft.In order to prevent the structural components from being damaged due to overload during the take-off and landing process,the designed landing gear must be able to effectively absorb the energy generated during the landing.Therefore,it is of great significance to study the dynamic process of the landing gear during the landing of the aircraft.At the same time,in order to maximize the cushioning performance of the landing gear during the landing,this paper also studies the optimization of the landing gear cushioning performance.In this paper,the main landing gear of a certain type of UAV is taken as the research object.According to the structure and parameters of the landing gear,the landing dynamics simulation model of the landing gear is established.At the same time,according to the requirements of the landing gear drop test,a new platform to measure the impact force of the landing gear was designed,and the measurement accuracy of the platform was verified by the momentum theorem and the drop test data.In order to improve the cushioning performance of the landing gear,this paper uses the neural network method to establish the cushioning performance optimization model of the landing gear.The parameters that have a great influence on the performance of the buffer are selected as the optimization parameters,including the initial gas pressure and the initial aeration volume of the air chamber and the diameter of the main oil hole.And the maximum vertical load of the tire is optimized.The new design parameters obtained by genetic algorithm are input into the simulation model for verification.The results show that the optimized buffer performance is improved.However,when establishing the optimization model,the actual variation of the parameters such as the oil hole flow coefficient is not taken into account.Therefore,in order to more accurately optimize the cushioning performance,the landing gear was also subjected to the eclipse drop test.The optimization model is continuously corrected and improved through the landing gear drop test data until the optimal configuration parameters are obtained.