Energy-saving Optimization Study Of Regenerative Ladle Baking Devices

The regenerative ladle baking device is importantequipment in steel mills, and also one of the main equipment for energyconsumption. Not only the energy consumption performance but also thesteelmaking production efficiency will be promoted by setting theregenerative ladle baking device in proper process conditions. Thisdissertation considers the regenerative ladle baking device in First andSecond Steel Rolling Plant of Tangshan Iron and Steel as control objectsto achieve its temperature process control. The burning heating process ofregenerative ladle baking device is a random process and affected byrandom interference factors, with large inertia, pure time-delay nonlineardistribution parameters. Consider the characteristics of PID control,neural network control and double cross limit control principle, a newmethod combining the RBF neural network PID control and doublecrossing control is provided. As adjusted by the RBF neural network, thePID controller is supposed capable to response much faster, bare fiercerperturbations, and achieve better control performance. At the same time,the double crossing control is used to reduce the air pollution and extendthe life of regenerative ladle baking device. We combine the method ofPID control based on RBF neural network with double-crossing clippingand apply this combined method in temperature control of theregenerative ladle baking devices, so that the energy-saving optimizationof those devices can be achieved. The Siemens S7-300PLC is applied inthis dissertation due to its stability and reliability. This PLC system withdecentralized control and centralized management is composed throughnetwork technology, and the programming control is achieved by Step7.A transfer function model is constructed according to the properties of thedevice in use. The optimal PID parameters are deduced through thesimulation research of PID control based on RBF neural network andtraditional PID control method in MATLAB environment and applied itto the double-crossing clipping control method. Then we demonstrate asimulation of the regenerative ladle baking devices application to indicatethe high control by this combined. The PID controller is fast and good adaptive capability. And this control system has been successfully appliedto regenerative ladle baking devices temperature control in the first andsecond steel rolling plant of Tangshan Iron and Steel, the energy-savingrate is32%and saving the mixing gas consumption on the basis ofensuring the quality and output. Moreover, the environment pollution isalso reduced, and this can be taken as one of the achievements of theenergy-saving optimization method in this dissertation.