Optimization Research And Implementation Of Control Algorithm For XLPE Cable Production Line

In this paper,the commonly used algorithms for industrial temperature control in recent years are screened.Combined with the characteristics of the extruder and the production scene of the crosslinking line,three temperature control methods are selected,which are: single neuron PID(proportional integral differential)algorithm,fuzzy PID algorithm and the algorithm combining predictive control and PID.Firstly,the three algorithms are preliminarily explored through simulation or theoretical verification.Then the three algorithms are implemented in industrial PLC(programmable logic controller),and the simulation environment built in the laboratory is tested.Then,the experimental results are compared,combined with the results of simulation and theoretical verification,the difficulty of algorithm implementation,the complexity of adjusting parameters and the stability of use,and the applicability of these three algorithms in this scene is summarized.In addition,in order to realize intelligent control and other complex logic functions,the industrial controller needs to have strong data processing capacity and larger storage space.Therefore,this paper also upgrades the core controller Siemens plc300 of the production line to the 1500 version with comprehensively improved performance and function.The temperature control program realized in this paper improves the adaptability of the temperature control algorithm,shortens the adjustment time and improves the control accuracy,improves its product quality and makes its production process more efficient.At the same time,the upgrading of the industrial controller enables the production line to develop complex production functions,which lays a foundation for improving the automation level of the cross-linked cable production line and upgrading it to a high-end intelligent production line,It provides a practical and reliable solution to the practical problems in this industry.