Research And Application Of Advanced Control Algorithms In Electric Heating Experiment System

Temperature control is very important in the field of industrial control. It had require ments of accuracy in temperature control. An electric heating furnace control system whic h based on IPC was construct, which the controlled object was an ACT-WH-EH experime ntal electric furnace, and some I/O card board were used as data acquisition and communi cation units. A temperature’s model was analyzed out with mechanism modelling, step respo nse and bisection method, which with great inertia.In most of temperature control system, PID algorithm was still applied widely. After t heoretical study and MATLAB simulation experiments, the simulation results proved effecti veness of PID algorithm in controlling great inertia system, but it depended on the param eters of PID controller, and the control performance would be worse while the system cha nged, so the algorithm needs to be improved. A variable universe fuzzy PID controller wa s designed based on PID algorithm. It improved the control accuracy by correcting the pr oportion, integration and differentiation parameters real time and online, in the meanwhile changing the control rules fellow the range of the input. The simulation results showed th at fuzzy PID algorithm had advantages in overshoot and adjustment time of great inertia s ystem. A predictive fuzzy PID controller based on Grey Model was designed for time-dela y system. The Grey Model achieved single input single output prediction. The difference v alue between the predicted values of GM(1,1) and expectations was used as the input of f uzzy PID controller to control the system ahead. The simulation results showed that predic tive fuzzy PID algorithm had advantages in control performance and response of large tim e-delay system, which lead to high accuracy.The fuzzy PID algorithm was realized on MCGS configuration software which used C OM technology and VB script for programming, and realized on WinCC configuration software which used C script for programming. Finally, I applied the algorithm on electrical h eating furnace. The experimental results showed that the designed fuzzy PID algorithm ha d great control performance and high portability.