Aero-Engine Compressor Surge Control with Fuzzy Controller Switching
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Solution Overview
Problem
Existing active surge control methods for aero-engines suffer from low reliability, inadequate adaptability, and limited operating range, often failing to consider performance loss and are not optimal control strategies under varying conditions.
Innovation Solution
An aero-engine surge active control system based on fuzzy controller switching, comprising a basic controller design module, a fuzzy switching module, and a control signal fusion module, which adaptively adjusts controller weights based on compressor state variables to manage multiple disturbances and expand the operating range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional compressor surge control method is used to ensure sufficient surge margin, then reliability is improved, but engine performance is sacrificed due to conservative operating point selection
Solution Approach 1:
The patent implements dynamic surge margin adjustment by switching between multiple basic controllers (including PID, LQR, and fuzzy logic controllers) based on real-time compressor operating conditions. The controller weights are dynamically adjusted according to disturbance levels and operating points, allowing the system to optimize between reliability and performance across different operating regimes rather than using a fixed conservative margin throughout.
Solution Approach 2:
The patent changes the surge margin parameter dynamically based on operating conditions. By modifying controller parameters (weights, gains) according to disturbance magnitude and operating point, the system adjusts the effective surge margin to be larger under high-risk conditions and smaller under stable conditions, thereby resolving the contradiction between reliability and performance.
2Adaptability or versatility
If active surge control method is used to expand stable operating range, then adaptability is improved, but reliability deteriorates due to controller failure risk
Solution Approach 1:
The patent segments the control system into multiple basic controllers (Nc ≥ 2), each designed for specific operating conditions or disturbance types. These include PID controller for general control, LQR controller for optimal control under normal conditions, and fuzzy logic controller for handling uncertainties and disturbances. This segmentation allows the system to maintain reliability by selecting the appropriate controller for the current operating state while expanding overall adaptability.
Solution Approach 2:
The patent incorporates fuzzy logic control as a cushioning mechanism that activates when uncertainties or disturbances exceed thresholds. The fuzzy controller provides corrective actions before surge occurs, compensating for potential failures of other controllers and maintaining reliability while enabling expanded operating ranges.
3Device complexity
If single controller is used for surge control, then device complexity is reduced, but adaptability deteriorates due to inability to handle multiple disturbances
Solution Approach 1:
The patent merges multiple basic controllers (PID, LQR, fuzzy logic) into a unified fuzzy switching control system. The fuzzy logic controller acts as a supervisor that integrates the outputs of other controllers and adjusts their weights based on real-time conditions. This merging approach maintains relative simplicity while significantly improving adaptability to multiple disturbances and operating conditions.
Solution Approach 2:
The fuzzy switching controller serves multiple functions: it switches between different basic controllers, adjusts controller weights, handles uncertainties, and adapts to varying operating conditions. This multi-functionality is achieved through a single unified control architecture that can handle diverse disturbance types and operating points without requiring separate specialized controllers for each function.
4Measurement precision
If local operating point control is implemented, then control precision is improved, but operating range is limited
Solution Approach 1:
The patent implements dynamic adaptation across the entire operating range by continuously adjusting controller weights and switching between basic controllers based on real-time operating conditions. The fuzzy logic component dynamically determines appropriate control strategies for different operating points, enabling precise control throughout the full range rather than only at local optimized points.
Data Source
AI summary
An aero-engine surge active control system based on fuzzy controller switching is provided. The present invention selects a basic controller with the most appropriate current state for switching control according to the operating state of a compressor based on the principle of fuzzy switching, and can realize large-range, adaptive and performance-optimized surge active control. Controllers designed by the present invention realize large-range surge active control through fuzzy switching, so that the effective operating ranges of the controllers are expanded and the reliability of the controllers is improved. The designed controllers can be applied to the active control of surge caused by various causes, so that the adaptability of the controllers is improved and is closer to the actual operating condition of the engine. Some optimization indexes are added in the design process of the controllers, which can realize optimal control under corresponding optimization objectives.