Annealing Furnace Temperature Control System Based On Fuzzy PID Control

In recent years, industrial control areas in our country,About PID controlapplication has accounted for more than90%.Which is characterized by a verysimple structure,System parameter adjustment and easy operation,But for somecontrol object parameters require more precise and relatively fuzzy controlsystem,PID control shows its limitations,Because the control system performanceparameters are determined by the PID,And the contradiction is that it regulates theamount of time and overshoot.Can not solve small overshoot, short settling timeproblems,Fuzzy Control:Robust performance of fuzzy control is better,Digitalcontrolled object model does not need to be determined.And the regulator have theadvantage of speed of response,But fuzzy control also has its ownshortcomings,Because the level of fuzzy rules produce errors resulting in limitedaccuracy.Limitations integrated fuzzy control，Combines the advantages of therespective.We can solve the conventional PID control can not solve the problem.For zinc plate annealing furnace common lag and overshoot problemsbrighter,For a comprehensive integrated analysis of.Designed annealing furnacetemperature control system based on fuzzy PID control,Required to reach theannealing furnace requires.Strong adaptability,Stability and high precisioncontrol,Robustness characteristics.The system also has a rapid heating and thermalinsulation (rapid heating according to the heat setting temperature) efficacy.And thefarther the distance control between the lehr,Use of PC Configuration software forprogramming monitoring,Lower machine using Siemens S7-200PLC and expansionmodules.Combined with touch-screen operation, block may be programmed,Andfuzzy control theory and methods of control,In accordance with its rules ofinference,Identify the most suitable control factor.The control system parameters arerequired for control is greatly improved accuracy,Eventually, the theory withpractice,Finally able to explain the problem by comparing the results of thesimulation run.Then on the conventional PID control and fuzzy control and PIDcontrol MATLAB simulation experiments were made,Able to compare digital proofconclusions.And finally we compare with the previous analysis of the system, thefollowing conclusions can be drawn through simulation,Due to the robustperformance of the system is better,The response speed of the system issignificantly improved by10%with the original,Overshoot bright8%lower thanthe original,Parameter settings for each system are required to achieve,Thus, thesystem is feasible.