Improved real-time H∞ control for aero-engines based on the equilibrium manifold expansion model

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-26 DOI:10.1016/j.jfranklin.2024.107342
Fang-Zhou Liu, Yan Shi, Chong-Yi Sun, Xi-Ming Sun
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Abstract

This paper investigates the transient performance and disturbance rejection control problem for aero-engines based on the equilibrium manifold expansion (EME) model. Considering the operating characteristics of the aero-engine vary greatly during different flight states, it is difficult to ensure the performance of the aero-engine in different states using a single controller designed offline. To solve this problem, this paper proposes an improved real-time H controller. Through driving the controller to match the changes in dynamic characteristics of the system, the stability and disturbance rejection performance of the system are guaranteed over a wide range effectively. In addition, a dynamic adjustment mechanism is designed for the disturbance rejection parameter in the proposed real-time H controller, which further improves the transient performance of the system. The sufficient conditions to ensure the stability of the system under the designed method are also given. Finally, the effectiveness and superiority of the proposed method are verified through an aero-engine numerical simulation program and a hardware-in-the-loop (HIL) experiment.
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基于平衡歧管扩展模型的改进型航空发动机实时 H∞ 控制技术
本文研究了基于平衡歧管膨胀(EME)模型的航空发动机瞬态性能和干扰抑制控制问题。考虑到航空发动机在不同飞行状态下的运行特性差异较大,使用离线设计的单一控制器很难保证航空发动机在不同状态下的性能。为解决这一问题,本文提出了一种改进的实时 H∞ 控制器。通过驱动控制器与系统动态特性的变化相匹配,有效保证了系统在大范围内的稳定性和抗干扰性能。此外,在所提出的实时 H∞ 控制器中,还为扰动抑制参数设计了动态调整机制,进一步提高了系统的瞬态性能。还给出了在所设计方法下确保系统稳定性的充分条件。最后,通过航空发动机数值仿真程序和硬件在环(HIL)实验验证了所提方法的有效性和优越性。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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