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