Using LQG/LTR Optimal Control Method to Improve Stability and Performance of Industrial Gas Turbine System | Zendy

Fereidoon Shabaninia | Zendy; Kazem Jafari | Zendy

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Using LQG/LTR Optimal Control Method to Improve Stability and Performance of Industrial Gas Turbine System

Author(s) -

Fereidoon Shabaninia,

Kazem Jafari

Publication year - 2012

Publication title -

isrn electronics

Language(s) - English

Resource type - Journals

ISSN - 2090-8679

DOI - 10.5402/2012/134580

Subject(s) - linear quadratic gaussian control , control theory (sociology) , turbine , controller (irrigation) , control system , gas turbines , power (physics) , component (thermodynamics) , power station , stability (learning theory) , pid controller , engineering , control engineering , optimal control , automotive engineering , computer science , control (management) , temperature control , mechanical engineering , mathematics , mathematical optimization , agronomy , physics , electrical engineering , quantum mechanics , artificial intelligence , machine learning , biology , thermodynamics

The gas turbine is a power plant, which produces a great amount of energy for its size and weight. Its compactness, low weigh, and multiple fuels make it a natural power plant for various industries such as power generation or oil and gas process plants. In any of these applications, the performance and stability of the gas turbines are the end products that strongly influence the profitability of the business that employs them. Control and analyses of gas turbines for achieving stability and good performance are important so that they have to operate for prolong period. Effective control system design usually benefits from an accurate dynamic model of the plant. Characteristic component parts of the system are considered in this model. Gas turbine system is described by specified thermodynamic equations that can be used for defining its model. This paper introduces an optimal LQG/LTR control method for a gas turbine. Analysing the gas turbine dynamic in time and frequency domain by using proposed control compared to PID controller is followed. Applying this optimal control method can provide good performance and stability for the component parts of system.

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