流体力学与飞行力学

基于滑模控制的航空发动机多变量约束管理

  • 杜宪 ,
  • 郭迎清 ,
  • 孙浩 ,
  • 徐清诗
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  • 西北工业大学 动力与能源学院, 西安 710072
杜宪,女,博士研究生。主要研究方向:航空发动机限制管理,模型预测控制及滑模控制。E-mail:mydx@mail.nwpu.edu.cn;郭迎清,男,博士,教授,博士生导师。主要研究方向:航空发动机控制与健康管理。Tel.:029-88431121,E-mail:yqguo@nwpu.edu.cn;孙浩,男,博士研究生。主要研究方向:发动机健康管理。E-mail:sunhao2013@mail.nwpu.edu.cn;徐清诗,女,硕士研究生。主要研究方向:航空发动机延寿控制。E-mail:xqs@mail.nwpu.edu.cn

收稿日期: 2016-01-08

  修回日期: 2016-04-08

  网络出版日期: 2016-04-13

Sliding mode control based multivariable limit management for aircraft engine

  • DU Xian ,
  • GUO Yingqing ,
  • SUN Hao ,
  • XU Qingshi
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  • School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China

Received date: 2016-01-08

  Revised date: 2016-04-08

  Online published: 2016-04-13

摘要

针对航空发动机传统单变量线性控制器min-max切换方法处理约束的不足,提出了单变量滑模控制器替换所有线性控制器的改进策略,并将该方法拓展为新切换逻辑下的多变量滑模控制结构。基于改进的单变量滑模控制器min-max结构,多变量控制策略中加入了多变量滑模主控制器和新的切换逻辑,充分利用发动机的所有控制量,克服了传统方法的保守性,进一步提高发动机约束下的动态性能。对稳态时工作的控制器进行了理论分析,建立了多变量控制器实现精确跟踪的充要条件。仿真结果表明,多变量控制方法在更苛刻的约束条件下能够实现跟踪任务,而且提高了推力跟踪的快速性,调节时间从1.91 s缩短到1.54 s,同时降低了稳态时的油耗。

本文引用格式

杜宪 , 郭迎清 , 孙浩 , 徐清诗 . 基于滑模控制的航空发动机多变量约束管理[J]. 航空学报, 2016 , 37(12) : 3657 -3667 . DOI: 10.7527/S1000-6893.2016.0118

Abstract

To overcome the shortcomings of traditional min-max switching logic with linear regulators for limit management, an improved method is utilized to substitute all linear regulators with nonlinear sliding mode regulators. Based on this improved approach, a multi-input control strategy, along with a new innovative switching logic and a multivariable sliding mode regulator as the main controller, is proposed to remove the conservatism of the traditional min-max approach and to take advantage of all the actuators for enhanced performance. The steady-state working regulators under the new switching logic are analyzed, and necessary and sufficient conditions are established to ensure that the main regulator is active for accurate tracking at steady state. Simulation results show that the proposed multi-input strategy is superior to the improved single-input sliding mode controller in min-max structure. The new method owns the ability to achieve the tracking task under more tight constraints, the settling time of the possibility of pursing faster response is shortened from 1.91 s to 1.54 s, and the fuel consumption at steady state is lowered for the same control objectives.

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