Industrial electrical furnaces present many challenging control problems due to their non-linear dynamic behavior, uncertain and time varying parameters. This work presents internal model control approach for electrical furnaces based on nonlinear process modeling. First, a procedure for developing an approximate nonlinear analytical model of the thermal dynamic behavior of electrical furnaces in the required control region is presented. Second, IMC-PID based control strategy was implemented. Finally, modeling and controller performance is presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.