Robust Fractional-order Controller for Power Plant Gas Turbine

Abstract

The field of application of control methodologies to gas turbine holds tremendous research potential. This paper, presents the fractional-order (FO) robust controller design for the fuel-speed loop of a gas turbine. The aim of the controller is to maintain the turbine speed, against the plant gain variation and disturbance. To the best of our knowledge this is probably the first effort to propose the design of a fractional-order controller for the speed control of a power plant gas turbine. Nowadays the application of fractional-order (FO ) modeling and control is the most appreciated area for research. The Fractional Calculus field has originated from the fundamental area of fractional calculus which is the mathematical branch dealing with differentiation and integration with arbitrary order of the operation. On the other hand, FO controllers have proved their efficacy over the conventional integer-order (IO) controllers by providing more flexibility in the design and also by guaranteeing a more robust closed-loop configuration. The proposed FO controller is designed with the concept of Bode's ideal loop transfer function. Simulation studies clearly shows that the proposed FO controller makes the closed loop system more robust against the plant uncertainties and disturbances as compared to the integer order PID controller. General Terms:Gas Turbine Control

Robust controller design for a three-shaft industrial gas turbine in the infinite grid power generation

“…In the field of the gas turbine, the provided controllers can be classified into robust and non-robust controllers. Several studies have been conducted in the field of robust controller design for gas turbine in order to investigate optimal (Watts et al, 1992), adaptive (Comporeale et al, 2002), predictive (Jurado and Capiro, 2006, Ghorbani et al, 2008; Jadhav et al, 2014; Tsoutsanis and Meskin, 2018), Nero-Fuzzy (Mohamed Iqbal and Joseph Xavier, 2017), and classical Proportional–Integral (PI) and Proportional–Integral–Derivative (PID) controller design (Balamurugan et al, 2013; Hajagos and Berube, 2001; Kim and Kim, 2003; Kim, 2004; Montazeri-Gh and Ilkhani, 2012; Selvakumar et al, 2013). Dynamic models in different controller designs were often presented by the Rowen and IEEE working group (deMello, 1994; Rowen 1983, 1992).…”

Measurement and control of emergent phenomena emulated by resistive-capacitive networks, using fractional-order internal model control and external adaptive control

“…Fractional order analysis is an emergent interdisciplinary topic with several applications when there are nonlocal interactions of physical phenomena as well as in the control of distributed systems. A typical example is the modeling of power systems 1,2 for energy transmission and storage 3,4 and, in particular, supercapacitor modeling and discharge control. [5][6][7][8][9][10][11] Distributed system postulations are also often encountered in the modeling of biological processes.…”

Performance assessment of classical and fractional controllers for transient operation of gas turbine engines

“…In this study, we implement both a fractional and classical PI controller, and under dynamic operating conditions, we assess and compare their respective performance. In contrary to Jadhav et al (2014), where the gas turbine is represented by a simple Rowen's model, see Rowen (1983), and the fractional controller is based on the Bode's ideal loop transfer function, in this study we implement an advanced component-based thermodynamic model, that utilises component performance maps, and a simpler fractional controller, developed in MATLAB/Simulink environment by Tepljakov et al (2011). This simulated study gives additional insights of the engine dynamic behaviour that has the potential to serve as a useful guide for designing and optimising of engine controllers suitable for transient engine operation.…”

“…However, there are limited number of studies of fractional controllers used for energy systems, see Hote (2014, 2016), and even less on gas turbines engines, see Jadhav et al (2014). This motivated the development of a fractional controller for a gas turbine engine.…”