Multivariable Model Reference Adaptive Control of an Industrial Power Boiler Using Recurrent RBFN

Abstract

In industrial steam systems, the process requires a specific pressure, and the maximum permissible operating pressure is different. If the inlet steam pressure to the steam consuming equipment exceeds the operating pressure, it may cause hazards. Therefore, the more precise control of the boiler pressure is important. Since we are dealing with a nonlinear, time-varying, and multivariable system, the control method must be designed to handle this system well. Most of the methods proposed so far are either not physically feasible or the system has considered very simple. Therefore, in this paper, while modeling the boiler and its pressure relations more precisely, we will introduce a recurrent type-2 fuzzy RBFN-based model reference adaptive control system with various uncertainties so that the uncertainty and inaccuracy of the model can be compensated. The experimental results prove the efficiency of the proposed method in boiler control.

Numerical Simulations of Environmental Energy Features in Solar Pump Application by Using Hybrid Nanofluid Flow: Prandtl-Eyring Case

“…Khetib et al 13 employed magneto-hybrid nanofluid-filled PTSCs to check their analytical model regarding thermal-hydraulic as well as energy efficiency. Tavoosi et al 14 introduced a reference model, based on recurrent type-2 fuzzy RBFN, that was adaptive to a control system having many uncertainties. They modelled the boiler relations with its pressure.…”