Journal of Propulsion Technology ›› 2012, Vol. 33 ›› Issue (3): 472-477.

• Control ,Measurement and Fault Diagnosis • Previous Articles     Next Articles

Multi-Model Predictive Sliding Mode Control for Aero-Engine

  

  1. Engineering Institute, Air Force Engineering University, Xi’an 710038, China;Engineering Institute, Air Force Engineering University, Xi’an 710038, China;Engineering Institute, Air Force Engineering University, Xi’an 710038, China;Engineering Institute, Air Force Engineering University, Xi’an 710038, China;Engineering Institute, Air Force Engineering University, Xi’an 710038, China
  • Published:2021-08-15

航空发动机多模型预测滑模控制

苗卓广,谢寿生,王磊,彭靖波,翟旭升   

  1. 空军工程大学 工程学院,陕西 西安 710038;空军工程大学 工程学院,陕西 西安 710038;空军工程大学 工程学院,陕西 西安 710038;空军工程大学 工程学院,陕西 西安 710038;空军工程大学 工程学院,陕西 西安 710038
  • 作者简介:苗卓广(1985—),男,博士生,研究领域为飞机推进系统控制与状态监控。E-mail:mohen267@126.com
  • 基金资助:
    博士后科学基金(20100481498)。

Abstract: A method of multi-model predictive sliding mode control was put forward for aero-engine with uncertainty and strong nonlinearity. The method drew lessons from the ideology of multi-model and predictive control. Firstly, the flight envelope of a certain aero-engine was plotted, and the state space multi-models were established. Secondly, predictive sliding mode controller was separately designed for each model. The algorithm predicted future sliding mode values and made rolling optimization and feed-back correction to get the control value. The current controller was chosen based on the match degree of outputs between the models and the aero-engine. Lastly, the stability condition was deduced. Simulation results show that the devised controller has good effect and restrains the influence of parameters perturbation and interfere.

Key words: Aero-engine; Multi-model; Sliding mode control; Predictive control; Flight envelope

摘要: 针对航空发动机是一个不确定性的强非线性系统,借鉴多模型方法和预测控制思想,提出了航空发动机多模型预测滑模控制。对航空发动机飞行包线进行划分,建立了航空发动机状态空间多模型;对每个模型分别设计了预测滑模控制器,以滑模轨迹为预测模型,进行滚动优化、反馈校正求取控制量,并根据前几时刻与发动机的匹配程度选择当前时刻的控制器;推导出了其稳定性的条件。仿真结果表明,所设计的控制器控制效果令人满意,能有效抑制参数摄动和干扰的影响。

关键词: 航空发动机;多模型;滑模控制;预测控制;飞行包线