Control System Of Sugar Cane Boiling Process Based On DMC Predictive Control

The sugar boiling process is the most important element and a crucial link to the sugar production,and which has not been automated.Every conditions should be prepared includes sugar bowl equipment,raw materials,over saturation,viscosity,liquid level,vapor pressure,temperature and vacuum,to control the concentration,starting and rising of the Crystal.Considering the existing problems in technology and equipment,an open-architecture integrated experimental platform is studies in this paper,which provides monitoring in scientific study of sugar boiling process and DMC predictive control method.The platform has open input/output interfaces and could simulate the real production of sugar boiling process,based on its modular and reconfigurable hardware.The hardware part of is modular and reconfigurable,includes auxiliary work modules,valve control module,tank module,and data acquisition module.Software includes real-time data acquisition component,supersaturation measurement component,and dynamic parameter optimization and control component.The scalable and component-based software could automatically adjust the control parameters such as temperature and pressure,using different algorithms and various control strategies,by a soft sensor method of supersaturation.It provides an optimized monitoring technology to the actual production.In order to make exhalation crystal meet requirements,different parameters such as temperature and supersaturation of the syrup,vacuum,liquid height,pressure of the heating steam and feed rate are need to control.It studies the arrangement of these sensors,and gives the connection the host computer.It contains a lot of uncertainty in sugar boiling process because of the complex process,confounding factors,time-varying and nonlinear process.A precise mechanism model of boiling.sugar process is difficult to Build,due to large inertia,lag behind,and strong coupling.The opening degree of the valve is controlled to maintain the stability of the syrup density range,based on DMC predictive control.The forecast error is corrected based on the method of prediction error prediction,to improve the DMC algorithm.It avoids unnecessary control fluctuations;consequently reduce the frequent movement of the valves and other mechanical devices.Based on single factor control,multivariable DMC predictive control model is studied.Syrup conductivity and density are controlled by adjusting the syrup feed speed and the heating steam flow.Considering f nonlinear sugar boiling process,piecewise linearization method is used to make the system stable and shorten the boiling time.Finally,it gives the overall interface of the monitoring platform.Different process control flow is given for A-sugar.The system test results show that the process of sugar boiling is stable and the control effect is more ideal.It provides a reference for the actual boiling sugar production.