Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

Abstract

An accurate understanding of the output power functionality in gas turbines concerning the fuel, inlet valve status and other parameters can provide a general overview of the turbine's performance. In this study, the problem of practical power regulation in gas turbines is investigated in the simultaneous presence of actuator constraints, unknown disturbances, and measurement noises. To this aim, a model predictive controller-based approach is utilized because of its high flexibility combined with a twolayer filtering and anti-filtering procedure to efficiently cope with the measurement noises. Moreover, the proposed structure takes the effects of unknown disturbances into account and thereby it is shown that the proposed controller can efficiently achieve all design objectives while handling actuator constraints, disturbances and measurement noises.

Dynamic Performance Analysis of Gas Turbine with Intermediate Cooling and Regenerative Based on Neural Network Algorithm

“…For example, some people put forward that the rapid development of computer and intelligent technology has provided new means and methods for research in many fields, and injected new vitality into the research of gas turbine simulation and optimal control [1][2]. Some people provide some technical references for the design, development, optimization and use strategies of actual intercooled cycle gas turbines [3][4]. In addition, some scholars said that dynamic characteristic simulation is the key research direction in the field of gas turbine [5][6].…”