This paper focuses on improving the performance of boiler drum level control over a wide
range of operation envelopes for the smooth integration of renewable energy. The …

In this research, we use a variety of optimization techniques to perfect the settings of a PID
controller that manages the water level in a boiler's drum. In this study, Particle Swarm …

In this paper, we present the design and implementation of a model predictive control (MPC)
applied to a real pressure plant, this variable is used in the industrial petroleum production …

Power plants are highly nonlinear systems demand a powerful identification method for
prediction of their future values or for control applications. In this paper, a generalized …

In this paper a nonlinear Kalman filter estimator is presented to estimate the states of a
nonlinear large scale power plant system. Power plant process is a highly nonlinear …

This paper deals with the state and unmeasured disturbance estimation within the nonlinear
model predictive control of the superheated steam temperature in a once-trough boiler of a …

This paper deals with the nonlinear model predictive control of the superheated steam
temperature in the power plant once-through boiler. Particularly the controller response on …

this work provides a study for boiler drum level control using Fractional Order PID (FOPID)
controller. A comparative study is made on the performance of the FOPID controller and …

In this paper a nonlinear Kalman filter estimator is presented to estimate the states of a
nonlinear large scale power plant system. Power plant process is a highly nonlinear …

In this paper, sequential nonlinear Distributed Model Predictive Control (DMPC) algorithms
for large-scale systems that can handle constraints are proposed. The proposed algorithms …