Development of Controller for Parallel Operation of Gas Turbine Plants

Proceedings of the Institution of Mechanical Engineers, Part C:

Arbabtafti

2020

The design and testing of various types of controllers require accurate and reliable transfer functions that are compatible with the performance condition of the system. In this paper, the linear and the nonlinear methods have been utilized for extracting the transfer functions for a three-shaft industrial gas turbine. The main variables are the fuel input and environment temperature, while the main outputs are the LPT exhaust gas temperature and the generated power. According to the nonlinear structure of the system and the input variation intervals, the quasi-amplitude-modulated pseudo random binary sequence signals have been utilized for generating input parameters. Finally, the results extracted from the selected methods were compared to the outputs of real performance data under loading and unloading conditions. Based on the comparison between the accuracies obtained by the results, the auto-regressive moving average with eXogenous, try and error transfer function and linearized Hammerstein model methods are proposed, respectively. The outcome of using the controller indicated higher compatibility from transfer functions as compared to the reference dynamic model.

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Section: Introductionmentioning

confidence: 99%

Linear Transfer Functions Extraction for a Power Generation Three-Shaft Gas Turbine Based on Actual Specifications

Proceedings of the Institution of Mechanical Engineers, Part C:

Arbabtafti

2020

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“…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).…”

Section: Introductionmentioning

confidence: 99%

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

Arbabtafti

Transactions of the Institute of Measurement and Control

2019

Due to the sensitivity of gas turbines’ power generation in Iran, robustness is considered as a crucial matter and the controllers play an essential role in this objective. The common controllers used in gas turbines are usually based on standard performance. Whereas, robust controllers demonstrate acceptable performance in the presence of adverse factors such as uncertainties, disturbances, and input step changes. In this study, dynamic structures and various robust control design scenarios for an MGT-30 three-shaft gas turbine have proposed. Input-output matrices have been presented based on the dynamic model structures, and a standard robust controller structure has been used to design and present transfer matrices. Four scenarios have been considered in the robust control design according to the number of control variables, uncertainties, and disturbance effects, evolutionally, respectively. [Formula: see text] and [Formula: see text] methods were used in the controller design when presenting the results of using the existing PID controller. The results show that with the increase and develop in parameters influencing the production of the actual system behavior and the controller responses improve noticeably. Finally, the fourth scenario was proposed as a scenario with more desirable robustness features than other scenarios, which provide a complete array of robust controllers.

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Multi-objective optimization of IGV position in a heavy-duty gas turbine on part-load performance

Applied Thermal Engineering

2017