| Automotive air-conditioning receptacles play a vital role as a"vascular"between air-conditioning compressors and condensers.Nowadays,people are more stringent on the quality of industrial products,the factory on the production efficiency and cost requirements continue to improve,the traditional thermal processing process has been defective,can not meet the higher requirements of enterprises.Cold extrusion forming as a new process technology,its cold extrusion products in the quality of the absolute advantages,at the same rate of cold extrusion forming process,but also can save raw materials,reduce production costs,reduce greenhouse gas emissions.However,the main difficulty and problem of using cold extrusion forming process to produce automotive air-conditioning receptacles is that in the process of cold extrusion,the force and deformation of the extrusion slower cause slower pressure,which causes disturbance to the motor,and even leads to the problem of stress concentration and fracture during extrusion.In view of the difficult yability of modeling and calculating and adjusting the hydraulic controller parameters in the process of design and optimization,it is urgent to control the optimal control strategy of the three-phase asynchronous motor in the cold creep forming process.This paper designs cold extrusion control technology based on moth-flame optimization algorithm(MFO),including:(1)The cold extrusion molding process is introduced,according to the characteristics of the automotive air-conditioning receptacle design edgto,the corresponding finite element model is established,it is introduced into the numerical simulation software DEFORM for cold creep forming when the force and flow analysis of the metal,to obtain the best operating point when cold creep forming.(2)The origin,principle and main advantages of MFO are analyzed.Using the algorithm to constantly update the characteristics of the position of moths and flames in the global search space,we can find the global optimal solution.The MFO is tested with two different types of standard single-peak and standard multi-peak test functions,and the optimization performance of the algorithm is compared to verify the effectiveness of the algorithm in solving the general nonlinear problem.(3)The MFO algorithm optimization strategy for the PID controller parameters is established.Applying the optimization strategy to the Simulink model,determining the dimension of each moth position vector is 3,using the fitness function to filter the moth according to the advantages and disadvantages of the moth population,and reducing the number of flames according to the flame renewal mechanism.When the moth sits at a fixed angle with the flame,the distance between the moth and the flame will change constantly,approaching the flame in the form of a spiral path,online adjustment,4)and((9),looking for the optimal combination of parameters to determine the control parameters of the PID at the optimal operating point.(4)The simulation results verify that the PID control technology based on the moth flame optimization algorithm overcomes the problem of difficult modeling and calculation and rectification of hydraulic controller parameters in the design and optimization process,and can accurately optimize the PID parameters,improve the dynamic response level of the three-phase asynchronous motor,optimize the complex modeling process of high-order nonlinear systems,reduce the impact of pressure disturbance,and pass the EL-DSPMCK-IV motor experimental platform.The feasibility of optimizing the cold extrusion forming control technology of PID controller by MFO algorithm is verified,and it has significant effect in reducing over-adjusting and enhancing the robustness of the system. |