Research On Auto-Disturbance Rejection Control Algorithm For Tobacco Leaf Moisture Of Hot-Winding Conditioning Cylinder In Threshing And Redrying

The second leaf moistening machine is a key processing equipment in the production process of tobacco leaf threshing and redrying.It has typical characteristics such as large,pure lag and strong interference,the traditional PID control technology can not adapt to the accuracy requirement of control system when the incoming water is disturbed.In order to obtain advantages in the fierce competition in the tobacco leaf and redrying processing market,and to meet the higher requirements of the cigarette factory for the quality of tobacco redrying products,it is necessary to apply better control technology to the key equipment of the tobacco leaf threshing and redrying production line.However,the quality of the tobacco leaves exported from Hot-Winding Conditioning cylinder has a direct impact on the rate of large and medium-leaf tablets and the quality of redrying leaves.So that,Development of control technology for the second leaf moistening machine suitable for tobacco threshing and redrying line,which it is of great significance to improve the efficiency of moistening and re drying,to ensure the quality of tobacco leaves redrying,to realize the stability of key technological parameters,and to reduce the labor intensity of workers.In this paper,in view of the precision requirements of the water control of the second leaf moistening machine at the exit of the tobacco leaf.Firstly,completes the field engineering identification of the parameters of the water mathematical model of the second leaf moistening machine tobacco leaves,and then,according to the actual engineering requirements of the grill plant,puts forward the control method of the adaptive nonlinear PID(ANPID)control of the water of the second leaf moistening machine,which is set up.The expansion state observer of the tobacco leaves is considered as the "total disturbance" by the expansion state observer and the internal disturbance of the moisture time change of the tobacco leaves and the temperature of the humidified water source.The nonlinear PID control method based on the expansion state based on the traditional PID controller is constructed to suppress the external water time change of the incoming tobacco.The internal disturbance of the disturbance and the temperature of the humidified water source enhances the signal tracking performance of the controller,so that the humidified water jet pneumatic film valve controlled by the controller can follow the water change signal of the outlet,adjust the opening of the valve valve before and after the second moistening cylinder,increase the amount of water spray,improve the anti-interference ability of the control system and satisfy the tobacco leaf water.At the same time,the basic "teaching and learning" algorithm(TLBO).is improved,and the reverse learning technology is added,the teaching factor is improved,the learning strategy is improved,and the wavelet mutation strategy is added to enhance the convergence performance and the accuracy of the basic teaching and learning algorithm.Finally,the simulation model of water control system of the second leaf moistening machine is built by digital simulation platform Matlab/Simulink,And using the improved intelligent optimization algorithm of teaching and learning(IMTLBO)to optimize the ANPID controller parameters of the moisture control system simulation model,the optimal controller parameters are used to analyze and verify the effectiveness of the adaptive nonlinear PID control method.An ANPID controller is implemented on a PLC simulation platform provided by redry factory engineer and the simulation test is completed.The results of Simulink simulation and PLC test show that the ANPID controller designed in this paper can adapt to the precise control requirements of the moisture of the tobacco leaves with different incoming disturbance,and can be applied to the actual control engineering.