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Design Optimization of a Gas Turbine Engine for Marine Applications: Off-Design Performance and Control System
Affiani Machmudah1,2, Tamiru Alemu Lemma3, Mahmud Iwan Solihin4
1Industrial Engineering, Faculty of Advance Technology and Multidisciplinary, Universitas Airlangga, Kampus C Jalan Mulyorejo, Surabaya 60115, Indonesia.
Entropy (Basel, Switzerland)
|December 23, 2022
Summary
This study optimizes marine gas turbine (GT) control using meta-heuristic algorithms. The whale optimization algorithm (WOA) significantly improves response time and stability compared to the genetic algorithm (GA).
Area of Science:
- Marine Engineering
- Control Systems
- Thermodynamics
Background:
- Gas turbines (GTs) are crucial for marine propulsion.
- Optimizing GT control systems enhances efficiency and responsiveness.
- Existing control methods may exhibit oscillations and slower response times.
Purpose of the Study:
- To optimize the design of a small gas turbine (GT) for marine applications.
- To develop and evaluate a comprehensive control system using gain-scheduling and meta-heuristic optimization.
- To investigate the performance of the genetic algorithm (GA) and whale optimization algorithm (WOA) for GT control.
Main Methods:
- A thermodynamics-based model of a small GT engine was developed.
- A control system integrating proportional integral (PI) control, gain scheduling, and min-max control was designed.
- Meta-heuristic optimization algorithms, specifically GA and WOA, were applied to optimize the control system gains.
- The performance of bioethanol as a fuel was analyzed in comparison to diesel.
Main Results:
- The whale optimization algorithm (WOA) demonstrated superior performance over the genetic algorithm (GA), achieving a lower fitness value.
- Optimal gain scheduling significantly reduced the time to reach the target power lever angle compared to unoptimized gains.
- The optimized control system exhibited a stable response, mitigating oscillations observed with fixed gains.
- Using bioethanol as fuel resulted in a significant increase in fuel flow due to its lower heating value, impacting the fuel flow-dependent gain.
Conclusions:
- Meta-heuristic optimization, particularly WOA, is effective for enhancing GT control system performance in marine applications.
- Optimal gain scheduling provides a more stable and responsive control compared to fixed-gain strategies.
- The choice of fuel (e.g., bioethanol vs. diesel) significantly affects GT fuel flow and requires consideration in control system design.
Keywords:
control systemenergy efficiencygain scheduling optimizationgas turbinegenetic algorithmmarine propulsionsthermodynamics-based modelwhale optimization algorithmMore Related Videos
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