Research On Plastic Pyrolysis System Design And Control Algorithm

The development of plastic thermal cracking technology is of great significance for environmental protection and resource recycling.Among them,the cracking reactor temperature control system has the characteristics of large hysteresis and nonlinearity,and fuzzy control is gradually becoming one of the ideal ways to deal with nonlinear and uncertain systems because of its characteristics of nonlinearity and simplicity.In this dissertation,we design a scrap plastic thermal cracking system and propose an improved fuzzy adaptive control algorithm and a fuzzy neural network control algorithm used to improve the static and dynamic performance of the reactor temperature control system.The main work of this dissertation is as follows:(1)Design the control scheme of the plastic thermal cracking system.In view of the limitations of the current thermal cracking technology of waste plastics and the problems of the actual process,the scheme design of the plastic thermal cracking system is carried out by combining the domestic and foreign plastic cracking methods and related processes,and the advantages of the designed control scheme are analyzed.(2)To study the fuzzy adaptive PID algorithm for reactor temperature control.Establish a mathematical model for temperature control of plastic thermal cracking reactor,and study the fuzzy adaptive PID method and improved fuzzy adaptive control algorithm.Aiming at the data pre-processing problem in the fuzzy rule extraction algorithm based on sample data,the traditional fuzzy rule extraction algorithm is improved to enhance the completeness and reliability of fuzzy rule formulation.(3)To study the fuzzy neural network algorithm for reactor temperature control.A fuzzy neural network PID control algorithm based on an improved locust optimization algorithm is proposed for the complex nonlinear characteristics of plastic thermal cracking temperature control system,and the neural network model parameters are optimized by improving the traditional locust algorithm.Simulation experiments show that the improved algorithm has stronger optimization-seeking ability and higher control accuracy.(4)Implementing the control algorithm application on the reactor experimental platform.The proposed advanced control algorithm is applied to the experimental platform to realize the effective control of the reactor temperature variables,which provides a reference for the application of the control algorithm in the actual plastic thermal cracking system.