Turbomachine Gain Adaptation for Stability and Response Time
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Solution Overview
Problem
Existing turbomachine regulation systems face challenges in maintaining optimal stability and response time over time, as they degrade due to wear and drift, requiring a compromise between these two performance metrics.
Innovation Solution
A self-adaptive regulation system that dynamically optimizes the parameterization gain K by using a stability correction module to determine a positive gain constant K1 for instability and a response time correction module to determine a negative gain constant K2 for delays, ensuring optimal stability and response time performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the regulation system is parameterized to have a large stability margin during commissioning, then stability is improved, but response time deteriorates
Solution Approach 1:
The patent applies dynamics by making the parameterization gain K dynamically adjustable rather than fixed. The gain is adapted in real-time based on the actual stability of the regulation system, allowing the system to transition from a static compromise to a dynamic optimization where stability and response time are balanced according to current operating conditions.
Solution Approach 2:
The patent implements feedback by continuously monitoring the stability of the regulation system and using this information to adjust the parameterization gain. The method detects instability through oscillation analysis and responds by modifying the gain to restore stability, creating a closed-loop adaptation mechanism that eliminates the need for initial conservative parameterization.
2Reliability
If the real system characteristics change and degrade over time due to wear and drift, then the initial optimal parameterization becomes non-optimal, but re-parameterization is complex and computationally expensive
Solution Approach 1:
The patent applies self-service by enabling the regulation system to automatically monitor its own stability and adjust its parameterization gain without external intervention. The system performs self-diagnosis through oscillation detection and self-correction by adapting the gain, eliminating the need for complex external re-parameterization procedures and computational optimization.
Solution Approach 2:
The patent implements parameter changes by dynamically modifying the parameterization gain K based on detected stability conditions. Rather than performing complex re-parameterization of the entire system, the method selectively adjusts the gain parameter in response to stability changes, simplifying the adaptation process while maintaining regulation performance.
3Stability of the object's composition
If the parameterization gain is increased to correct instability, then stability is improved, but response time may be affected; if decreased to improve response time, then quickness is improved but stability may deteriorate
Solution Approach 1:
The patent resolves this contradiction by making the parameterization gain dynamic rather than static. The gain is adjusted in real-time based on detected stability conditions, allowing the system to increase gain when instability is detected and decrease it when stability is achieved, thereby optimizing both stability and response speed according to actual operating conditions.
Solution Approach 2:
The patent uses feedback to monitor stability and automatically adjust the parameterization gain accordingly. The system detects instability through oscillation analysis and responds by modifying the gain to restore stability, then allows the gain to be reduced once stability is achieved, creating a self-regulating mechanism that balances stability and response time.
Data Source
AI summary
A system REG for regulating a physical parameter of a real turbomachine system F(p) from a physical setpoint parameter, 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 determining a first gain component K1, a response time correction module determining a second gain component K2, the stability correction module being designed to inhibit the response time correction module when an instability is detected during the regulation of the physical parameter, and a determination module configured to determine the parameterisation gain K as a function of the previously determined first gain component K1 and second gain component K2.