Multi-Engine Performance Margin Synchronization Adaptive Control
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Solution Overview
Problem
Existing load sharing methods for helicopter engines fail to continuously synchronize performance margins, leading to reduced engine life, increased maintenance costs, and higher pilot workload due to uneven engine degradation and stress on the combiner transmission.
Innovation Solution
A system and method that continuously and in real-time determine the performance margins of each engine, calculating their difference and adjusting engine loads to maintain a predetermined balance, using feedback controllers to implement torque matching and ensure synchronized performance across both engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If torque matching method is used to equalize measured engine torque, then load sharing between engines is improved, but performance margin synchronization deteriorates causing uneven engine degradation
Solution Approach 1:
The system continuously monitors actual engine torque, temperature, and performance margin in real-time, then feeds this information back to the controller which adjusts the torque distribution between engines. This closed-loop feedback ensures that performance margins are synchronized while maintaining optimal load sharing, preventing uneven degradation.
Solution Approach 2:
The control system dynamically adjusts the torque distribution between engines based on their individual performance margins, temperature conditions, and degradation states. Rather than using a fixed torque matching approach, the system adapts its control strategy in real-time to maintain synchronized performance margins across both engines.
2Temperature
If temperature matching method is used to equalize measured engine temperatures, then thermal balance is improved, but performance margin synchronization at max rated power deteriorates
Solution Approach 1:
The system uses real-time feedback from temperature sensors and performance margin monitors to continuously adjust torque distribution. This ensures that temperature balancing does not compromise performance margin synchronization at max rated power, as the controller accounts for both temperature and performance margin conditions simultaneously.
Solution Approach 2:
The control system changes the operating parameters (torque distribution, power allocation) based on real-time measurements of engine temperature and performance margin. By dynamically adjusting these parameters, the system maintains both thermal balance and performance margin synchronization at max rated power.
3Speed
If speed matching method is used to equalize measured engine speeds, then rotational balance is improved, but performance margin synchronization deteriorates due to differently shaped characteristic curves
Solution Approach 1:
The system continuously monitors engine speed, torque, and performance margin with real-time feedback control. This allows the system to maintain speed balance while simultaneously adjusting torque distribution to synchronize performance margins, compensating for differently shaped characteristic curves of individual engines.
Solution Approach 2:
The control strategy combines multiple control parameters (speed matching, torque distribution, temperature monitoring) into a composite control approach. This multi-parameter control system simultaneously achieves speed balance and performance margin synchronization by integrating information from multiple sensors and adjusting multiple control variables.
4Adaptability or versatility
If manual control method is used to allow pilot selection of control methods, then operational flexibility is improved, but pilot workload increases
Solution Approach 1:
The control system performs self-service by automatically selecting and switching between different control methods (torque matching, temperature matching, performance margin synchronization) based on real-time engine conditions. This eliminates the need for manual pilot intervention while maintaining operational flexibility and adapting to varying flight conditions.
Solution Approach 2:
The system dynamically switches between control strategies based on real-time measurements of engine performance, temperature, and degradation state. This automatic adaptive control provides operational flexibility equivalent to manual selection but without increasing pilot workload, as the system autonomously optimizes control method selection.
5Productivity
If new or overhauled engine is installed with engine that has already lost some performance margin, then fleet readiness is improved, but performance margin difference increases leading to reduced engine life
Solution Approach 1:
The system uses continuous feedback monitoring of performance margins to detect and respond to imbalances between new and degraded engines. The controller adjusts torque distribution to synchronize performance margins, ensuring that engines with different histories degrade at similar rates and can be removed simultaneously, maximizing fleet utilization.
Solution Approach 2:
The control system takes preliminary action by proactively managing torque distribution from the moment of engine installation or overhaul. By immediately implementing performance margin synchronization control, the system prevents performance margin divergence before it leads to uneven degradation, allowing both engines to reach their end-of-life simultaneously.
Data Source
AI summary
A system and method of adaptively synchronizing the performance margin of a multi-engine system includes continuously, and in real-time, determining the performance margin of a first engine and the performance margin of the second engine. A difference between the performance margins of the first and second engines is calculated, and the first and second engines are controlled to attain a predetermined difference between the performance margins of the first and second engines.