1Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran,
2Assistant professor of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran,
3Young Researchers and Elite Club, Science and Research Branch, IslamicAzadUniversity,Tehran, Iran,
Drum boilers consume is one of the most important equipment of the thermal power plants in many countries and are widely used in industrial process applications. A boiler-turbine unit is a typical multivariable industrial control system in power plant. The boiler is so manufactured that the drum level must be in the specified range. Output constraints are an important challenge in boiler drum systems to have safety and efficient operation. In this paper, the problem of state space model predictive control for a constrained nonlinear boiler drum systems is investigated. Predictive control is a highly efficient and strong methodsince its control performance has been reported to be best among other conventional techniques to control the multivariable dynamical plants with various inputs and outputs constraints. Simulation results demonstrate the satisfactory performance and effectiveness of this method andcompatibility with practical implementation in boiler.