航空发动机多模型预测滑模控制

推进技术 ›› 2012, Vol. 33 ›› Issue (3): 472-477.

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

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

发布日期:2021-08-15
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)。

Multi-Model Predictive Sliding Mode Control for Aero-Engine

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

摘要/Abstract

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

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

苗卓广,谢寿生,王磊,彭靖波,翟旭升. 航空发动机多模型预测滑模控制[J]. 推进技术, 2012, 33(3): 472-477.

参考文献

[2] 袁春飞,孙健国,姚华.航空发动机模型参考模糊自学习控制[J].南京航空航天大学学报, 4,6(2):155-158.
[3] 蔡开龙,谢寿生,王继业,等.基于RBF网络的航空发动机单神经元解耦控制[J].推进技术,8,9(4):471-476.(CAI Kai-long, XIE Shou-sheng, WANG Ji-ye,et al.Single Neuron Decoupling Control Based on RBF Network for Aeroengine[J].Journal of Propulsion Technology,8,9(4):471-476.)
[4] 苗卓广,谢寿生,王海涛,等.基于RBF的航空发动机terminal滑模控制[J].航空动力学报,0,5(12):2821-2826.
[5] 蔡开龙,谢寿生.航空发动机多变量模糊滑模变结构模型跟踪控制[J].推进技术,8,9(6):737-742.(CAI Kai-long, XIE Shou-sheng.Multiple Variable Fuzzy Sliding Mode Variable Structure Model Tracking Control for Aeroengine[J].Journal of Propulsion Technology,8,9(6):737-742.)
[6] 高为炳.变结构控制的理论及设计方法[M].北京:科学出版社, 1998.
[7] Ha Q P, Nguyen Q H, Rye D C,et al.Fuzzy Sliding Mode Controller with Applications[J] . IEEE Transaction on Industrial Electronics, 1,8(1):38-41.
[8] XIAO Ling-fei, SU Hong-ye,CHU Jian.Sliding Model Prediction Tracking Control Design for Uncertain Systems[J].Asian Journal of Control, 7,9(3):317-325.
[9] 宋立忠,陈少昌,姚琼荟.多输入离散时间系统滑模预测控制[J].电机与控制学报, 5,9(2):128-132.
[10] Kalkkuhl J, Johansen T A, Ludeman J.Improved Transient Performance of Non-Linear Adaptive Backstepping Using Estimator Resetting Based on Multiple Models[J].IEEE Trans Automatic Control, 2,7(1):136-140.
[11] Ozkan L, Kothare M V.Stability Analysis of a Multi-model Predictive Control Algorithm with Application to Control of Chemical Reactors[J].Journal of Process Con-trol, 6,6(2):81-90.
[12] 彭靖波.基于分布式控制的航空发动机先进控制算法研究[D].西安: 空军工程大学,2009.
[13] 李剑.某型发动机综合电子调节器核心技术破译研究[D].西安:空军工程大学,2002.
[14] 席裕庚.预测控制[M].北京:国防科技出版社,1993.