The development of reliable mathematical models for nonlinear systems has been a primary
topic in several industrial applications. This work proposes to examine the application of …

This work aims to apply a multivariable nonlinear model-based predictive control strategy
(MPC) to avoid unsafe or inappropriate operation of gas turbines, while reducing NO x …

This paper presents the development and experimental implementation of an online, fully
nonlinear model predictive controller (NMPC) for a gas turbine. The reduced-order, internal …

Monitoring of rotating machines is a very important task in most industrial sectors, which
requires a chosen number of performance indicators during the exploitation of such kind of …

In this paper, an H∞ robust controller has been designed for an identified model of
MONTAZER GHAEM power plant gas turbine (GE9001E). In design phase, a linear model …

For some of the existing gas turbines, there is no standard documentation, so non-OEM
(Original Equipment Manufacturer) companies will encounter problems for upgrading the …

Using industrial gas turbines is on the rise because of their flexibility and structural diversity
in different conditions and different industries. One of the multi-axial turbines produced in …

Faced with the challenges of potentially irreversible damage due to instantaneous large
pulsed power loads onboard, considering all-electric ship's small power grid capacity and …

Rotating machines are widely used in the industry; all these machines in operation produce
vibrations phenomena caused by dynamic forces generated in moving parts of these …

This paper presents the model predictive control (MPC) application on the solar power
system with microturbine and thermochemical energy storage (TCES). To investigate the …