| The effective performance of locomotive traction or braking depends on the adhesive force formed when the wheelset and the track contact each other,and due to the complex and changeable operating environment of the locomotive,the traction or braking force required by the locomotive operation is often greater than that provided by the wheel and rail.The adhesion force of the wheelset will cause idling or slippage of the wheelset,which will affect the safety of train operation.Improving wheel-rail adhesion performance by sanding is still a commonly used measure at present,but the current sanding system based on manual experience often has problems such as lag in sanding amount and excessive sanding,and the improvement of adhesion performance is limited.For this reason,this paper focuses on the calculation and control method of the optimal sanding amount for locomotives based on AHP,so as to maximize the performance of wheel-rail adhesion.The specific research contents include:Aiming at the problem that the sand-spraying logic of the locomotive sanding system is simple and the optimal sand-spraying amount is difficult to determine,a calculation method of the optimal sand-spraying amount based on the AHP is proposed.By establishing a hierarchical structure model of the sand spreading system,the method transforms the problems of sand spreading logic optimization and optimal sand spreading quantity calculation into the problem of obtaining the weight vector in the hierarchical structure model,and solves the problem that the sand spreading quantity calculation is difficult to quantitatively describe;Secondly,on the basis of analyzing the influencing factors of wheel-rail adhesion,the criterion factors of the hierarchical structure model such as acceleration,speed,creep speed,and level(traction torque)are determined;The amount of sand could be obtained.Finally,the effectiveness of the proposed method is verified by numerical simulation.A locomotive sand spreading control system based on fuzzy PID is established.The system integrates fuzzy rules and PID control,constructs a fuzzy control rule based on artificial experience,and applies engineering experience to the sand spreading system PID through fuzzy reasoning.In the tuning of the control parameters of the controller,the self-tuning of the PID controller parameters at different times is realized,and the robustness of the system is improved.Finally,the effectiveness of the built system is verified through data experiments under various working conditions. |