Simulation of a Single-Shaft Gas Turbine System with Advanced Control Method Implementation

Resource Overview

This study addresses the simulation of a large-scale, highly nonlinear single-shaft gas turbine thermodynamic system using MATLAB/Simulink. The implementation employs an adaptive multi-model generalized predictive control (AMMGPC) approach for speed regulation analysis. Through simulation, the control strategy demonstrates excellent performance in rotor speed control, offering practical applicability and introducing a novel methodology for gas turbine speed management. The workflow includes system modeling, controller design via Simulink blocks, and performance validation through dynamic response analysis.

Detailed Documentation

We conducted an in-depth investigation of single-shaft gas turbines as large-scale, complex thermodynamic systems with strong nonlinear characteristics. Using MATLAB/Simulink, we developed a detailed simulation model of a specific single-shaft gas turbine system. The implementation involved creating subsystem blocks for turbine components (compressor, combustor, turbine) and implementing governing equations through Simulink's mathematical operation blocks. To enhance speed control performance, we applied an adaptive multi-model generalized predictive control (AMMGPC) algorithm, which was programmed using MATLAB Function blocks and S-functions for real-time model switching and predictive optimization. Simulation results analysis revealed that this control scheme achieves remarkable effectiveness in gas turbine speed regulation, demonstrating practical application value. The controller's implementation features multiple local linear models identified through system identification toolbox, with fuzzy weighting functions for smooth transitions between operating points. Consequently, we propose this control scheme as an innovative approach for gas turbine speed control, potentially improving both performance and operational stability through its adaptive predictive capabilities.