Research On The Application Of Magnetorheological Technology In The Movement Of Artillery

During the maneuvering of the self-propelled artillery on the road surface,due to the random excitation and interference of the road surface,the artillery body will produce forced vibration,which will not only reduce the smoothness and stability of the driving process of the artillery,but also have a negative impact on the accuracy of the artillery.In order to solve this problem,this paper takes the suspension system of a tracked self-propelled gun as the research object,proposes a semi-active suspension system of self-propelled gun based on magnetorheological damper,and designs two control strategies for semi-active suspension.In this paper,magnetorheological damper is first studied.Due to the non-linear problem and hysteresis phenomenon of magnetorheological damper,the advantages and disadvantages of commonly used dynamic models are analyzed.On this basis,the forward model of magnetorheological damper is selected and an inverse model of magnetorheological neural network is established.The effectiveness of the inverse model is verified by simulation.Secondly,the road surface random excitation model is established and analyses the factors affecting the smoothness,stability and shooting accuracy of the artillery.The evaluation index of artillery suspension system is established.Through reasonable simplification and assumption of the system,an eight-degree-of-freedom passive suspension model and an eight-degree-of-freedom semi-active suspension of half-vehicle are established.At the same time,the influence of suspension system vibration on artillery motion is analyzed,and the concrete relationship between them is established.After that,the idea and principle of fuzzy control are studied.a variable universe fuzzy controller based on fuzzy reasoning is designed.On the basis of the introduction of the skyhook control,groundhook control and hybrid control,and by introducing it into the semi-vehicle suspension model of the artillery,the semi-active suspension hybrid controller is designed.The particle swarm optimization algorithm is used to optimize the unknown parameters existing in the hybrid controller.Finally,the control strategy is validated by simulation and experiment.The results show that the two control strategies can improve the vibration of the artillery body and improve the smoothness and firing accuracy of the artillery.