To address the limitations of traditional Min-Max logic in managing dynamic violations in aero-engines, this paper proposes a novel control strategy based on a real-time reference governor. The strategy simplifies the control architecture by removing the multi-loop selection control structure, retaining only the thrust-related control loop. It uses the inner-loop control system as the controlled plant to ensure stability. The system state within the maximum output admissible set serves as a constraint. A performance index related to tracking references is constructed, and a constrained Sequential Quadratic Programming (SQP) algorithm is employed for real-time iterative optimization to accurately calculate the tracking references, thereby fundamentally resolving the issue of dynamic violations. Digital simulation results indicate that, compared to the conventional Min-Max control scheme, this method achieves “riding limit” control, ensuring key parameters operate near the limit boundary for extended periods through real-time optimization. This not only enhances the engine’s dynamic response but also develops its performance potential, thereby facilitating the successful completion of engine constraint management control tasks.

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An Aero-Engine Limit Management Control Method Based on Real-Time Reference Governor

  • Jiakun Qin,
  • Yuan Gao,
  • Shan Zhang,
  • Yahui Gao

摘要

To address the limitations of traditional Min-Max logic in managing dynamic violations in aero-engines, this paper proposes a novel control strategy based on a real-time reference governor. The strategy simplifies the control architecture by removing the multi-loop selection control structure, retaining only the thrust-related control loop. It uses the inner-loop control system as the controlled plant to ensure stability. The system state within the maximum output admissible set serves as a constraint. A performance index related to tracking references is constructed, and a constrained Sequential Quadratic Programming (SQP) algorithm is employed for real-time iterative optimization to accurately calculate the tracking references, thereby fundamentally resolving the issue of dynamic violations. Digital simulation results indicate that, compared to the conventional Min-Max control scheme, this method achieves “riding limit” control, ensuring key parameters operate near the limit boundary for extended periods through real-time optimization. This not only enhances the engine’s dynamic response but also develops its performance potential, thereby facilitating the successful completion of engine constraint management control tasks.