Optimal Control Strategy For Research And Applications Based On Fuzzy Satisfaction Btp Intelligence

The sintering process is an important tache in the iron and steelproducing.As an important loop, it has a direct influence on state of the blastfurnace and output of iron. Burning Through Point (BTP) of sintering processis not only an important milestone in judging the state of sintering process,but also a key parameter closely related with output, quality and cost ofsintering ore, so the state of BTP is the mainly dependence for operatingon-strand sinter plant.The state of Sinter bed is one of the most importantparameter which is relateded by the BTP controlling. Thus, building up asintering process controling system including the BTP controlling system andthe Sinter bed position controlling system, which has clear structure,optimized founction and better controling effect is very important for thesteady of sintering process and the sinter quality.Since the sintering process possesses the characteristics such as strongnonlinear, strong coupling, uncertain, long time-delay, multi-constrained, thispaper builds up an optimal control system which has two important models.One is BTP controlling model based on intermix fuzzy-predict and the otheris Sinter bed position controlling model based on expert rules. A optimizingmodel based on fuzzy satisfy theory is set up to correspond the forenamedtwo models.At first, the BTP controlling model is composed of a feed-backfuzzy-control model and a predict-control model. When the BTP is in anon-steady state, the predict-control model is take the primary part in thesystem which can overtake adjusting the velocity of sintering machine,otherwise, when the BTP is in a steady state, the fuzzy-control model is takethe primary part in the system. Then, the Sinter bed position controllingmodel is mainly aiming at the problem that the velocity of sintering machinecan influent the sinter bed positionsteadly, according to the experience of thelocale expert, the model is set up to insure the safety of the sintering process.Finally, Satisfactory Solution Principle (SSP) is brought to syntheticallycoordinate the BTP controlling model and the sinter bed position controllingmodel, the problem solving process of the multi-objectives atisfactoryoptimizationi sanalyzed, it is converted to a new problem which object is tofind the max satisfactory degree by building the satisfactory function based on the objective function, by finding the solution of the problem, the controlsystem get the most appropriate velocity of sintering machine, it can ensurethe state of the sinter bed is safty and minish the fluctuate of the BTP.The control-response table can be obtained by simulation. The overallcontrol parameters acting on the velocity of sintering machine can be foundwith look-into-table method. The simulation result illustrates theeffectiveness of the designed system. Further more, this paper accounts forthe applications of designed system. It can resolve the optimization controlproblem effectively.That result in stable Burning Through Point and highquality of sintering mass.