Adaptive Turbomachine Regulation for Stability and Response Time

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Solution Overview

Problem

Existing regulation systems for turbomachines face challenges in maintaining optimal performance over time, balancing response time and stability, as they degrade due to wear and drift, and existing solutions either sacrifice response time for stability or require complex and computationally costly optimizations.

Innovation Solution

A dynamic regulation system that includes a corrector with a correction function and parameter gain K, featuring a stability correction module to determine a positive gain constant and a response time correction module to determine a negative gain constant, allowing the system to adapt and prioritize stability while improving response time only when stable, with modules for detecting instability, oscillations, and transient phases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Stability of the object's composition

If the regulation system is configured with a large stability margin during commissioning, then stability is improved, but response time deteriorates

Engineering Contradiction:
ImprovestabilityVSAvoidresponse time
Core Design Contradiction:
Stability of the object's compositionVSSpeed

Solution Approach 1:

The patent implements dynamic adaptation of the regulation system by continuously updating the real system model parameters (transfer function coefficients) during operation. This allows the system to transition from a static, conservative configuration to a dynamic, adaptive configuration that optimizes both stability and response time based on actual system conditions and degradation levels

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The regulation system performs self-diagnosis and self-adjustment by automatically detecting system degradation through model comparison and adapting its parameters without external intervention. The system monitors its own performance, identifies deviations from optimal operation, and autonomously recalibrates to maintain both stability and response time

Inventive Principle:
Principle #25Self-service

2Stability of the object's composition

If the real system characteristics are optimized over time to integrate faults and malfunctions, then stability is improved, but device complexity and computational cost increase

Engineering Contradiction:
ImprovestabilityVSAvoidcomplexity
Core Design Contradiction:
Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The patent focuses on adapting specific parameters of the real system model (transfer function coefficients a1, a2, b1, b2) rather than redefining the entire system model. This parameter-based adaptation approach simplifies the complexity by maintaining the existing model structure while adjusting only the necessary parameters to account for system degradation and faults

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP3977212B1System and method for regulating a physical parameter of a real turbomachine system from a physical setpoint parameter
Publication Date: 2023.06.28 SAFRAN AIRCRAFT ENGINES SAS
  • EP3977212B1 patent drawingFigure 1~2
  • EP3977212B1 patent drawingFigure 3
  • EP3977212B1 patent drawingFigure 4

AI summary

A system REG for regulating a physical parameter (y) of a real turbomachine system F(p) from a physical setpoint parameter (yc), the regulation system REG comprising a system OPTK for optimising the parameterisation gain K during the regulation, the optimisation system OPTK comprising a stability correction module (2) determining a first gain component K1, a response time correction module (3) determining a second gain component K2, the stability correction module (2) being designed to inhibit the response time correction module (3) when an instability is detected during the regulation of the physical parameter (y), and a determination module (4) configured to determine the parameterisation gain K as a function of the previously determined first gain component K1 and second gain component K2.