Gas Turbine Engine Control System for Performance Seeking
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Solution Overview
Problem
Gas turbine engines often operate at suboptimal control parameter settings due to predetermined schedules, leading to reduced fuel efficiency, operating temperatures, engine life, and increased exhaust emissions.
Innovation Solution
A control system that iteratively adjusts engine input parameters, such as variable stator vanes or fuel flow, based on real-time measurements of operating parameters to maintain desired outputs, using a processor and machine-readable instructions to determine optimal values for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predetermined schedule is used for control parameters, then the engine maintains minimum required stall margin and produces acceptable thrust/power output, but the engine operates at suboptimal control parameter settings leading to reduced fuel efficiency and increased emissions
Solution Approach 1:
The system continuously monitors actual engine operating parameters (temperatures, pressures, speeds) and compares them against target values derived from performance models. The controller adjusts control parameters based on this feedback to minimize deviations from optimal operating conditions while maintaining reliability constraints, thereby improving fuel efficiency without compromising stall margin.
Solution Approach 2:
The system dynamically changes control parameters (variable stator vanes, inlet guide vanes, bleed airflow, cooling airflow, fuel flow distribution) based on real-time operating conditions and performance models. By continuously optimizing these parameters rather than following fixed schedules, the engine operates closer to optimal efficiency points while maintaining minimum reliability thresholds.
2Ease of operation
If a predetermined schedule is used for control parameters, then the engine operation is simplified and reliable, but the engine produces reduced level of thrust or power output below its potential capability
Solution Approach 1:
The system transitions from static predetermined schedules to dynamic real-time optimization. Control parameters are continuously adjusted based on actual operating conditions, engine degradation state, and performance models to maximize power output at each moment while maintaining reliability constraints, thereby extracting maximum capability from the engine across varying operating conditions.
Solution Approach 2:
The engine control system automatically monitors its own performance and adjusts parameters without external intervention. The performance model continuously updates the engine's operational state and degradation, and the controller autonomously optimizes control parameters to maintain optimal performance, eliminating the need for manual intervention while maximizing power output.
3Stability of the object's composition
If a predetermined schedule is used for control parameters, then the engine operates consistently, but the engine life is reduced due to suboptimal operating conditions
Solution Approach 1:
The system monitors actual operating parameters and compares them against optimal values derived from performance models that account for engine degradation. By continuously adjusting control parameters to maintain optimal operating conditions throughout the engine's life cycle, the system extends engine life while maintaining operational consistency through closed-loop control.
Solution Approach 2:
The system dynamically adjusts control parameters based on real-time operating conditions and the engine's aging state. As the engine degrades over time, the performance model updates target parameter values, and the controller adapts operating conditions to remain within optimal ranges, thereby extending engine life while maintaining consistent performance through continuous parameter optimization.
Data Source
AI summary
Sensor-based, performance-seeking control of gas turbine engines is disclosed. An example method of controlling a gas turbine engine may include varying an engine input parameter while operating the gas turbine engine to produce a desired output, including measuring a pre-adjustment value of an engine operating parameter with an engine input parameter at an initial value, adjusting the engine input parameter to a current adjusted value, and measuring a post-adjustment value of the engine operating parameter. The method may include determining a future adjusted value of the engine input parameter and iteratively repeating the varying the engine input parameter operation and the determining the future adjusted value of the engine input parameter operation. The method may be performed while operating the gas turbine engine to produce a desired output.


