Hierarchical control of aircraft propulsion systems: Discrete event supervisor approach

被引:6
|
作者
Yasar, Murat [1 ]
Ray, Asok [1 ]
机构
[1] Penn State Univ, Dept Mech & Nucl Engn, University Pk, PA 16802 USA
关键词
discrete event supervisory control; optimal control; aircraft propulsion systems;
D O I
10.1016/j.conengprac.2006.05.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an application of the recently developed theory of language-measure-based discrete event supervisory (DES) control to aircraft propulsion systems. A two-layer hierarchical architecture is proposed to coordinate the operations of a twin-engine propulsion system. The two engines are individually controlled to achieve enhanced performance and reliability, as necessary for fulfilling the mission objectives. Each engine, together with its continuously varying control system, is operated at the lower level under the supervision of a local discrete-event controller for condition monitoring and life extension; the gain-scheduled feedback controller that is used to maintain the specified performance of the turbofan engine is kept unaltered. A global DES controller at the upper level coordinates the local DES controllers for load balancing and health management of the propulsion system. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:149 / 162
页数:14
相关论文
共 50 条
  • [1] Optimal supervisory control of aircraft propulsion: A discrete event approach
    Yasar, M
    Tolani, D
    Ray, A
    ACC: Proceedings of the 2005 American Control Conference, Vols 1-7, 2005, : 1503 - 1508
  • [2] Directed control of discrete event systems: Optimization based approach
    Huang, Jing
    Kumar, Ratnesh
    2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2006, 1-12 : 4141 - 4146
  • [3] Optimal LLP supervisor for discrete event systems based on reinforcement learning
    Umemoto, Hijiri
    Yamasaki, Tatsushi
    2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 545 - 550
  • [4] Reinforcement Learning of Optimal Supervisor for Discrete Event Systems with Different Preferences
    Kajiwara, Koji
    Yamasaki, Tatsushi
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2013, E96A (02) : 525 - 531
  • [5] Modeling and control of fuzzy discrete event systems
    Lin, F
    Ying, H
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2002, 32 (04): : 408 - 415
  • [6] An optimal control theory for discrete event systems
    Sengupta, R
    Lafortune, E
    SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 1998, 36 (02) : 488 - 541
  • [7] Optimal discrete event supervisory control of aircraft gas turbine engines
    Fu, JB
    Yasar, M
    Ray, A
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 5710 - 5715
  • [8] State-based Optimal Supervisor for Non-terminating Quantitative Discrete Event Systems
    Pruekprasert, Sasinee
    Ushio, Toshimitsu
    2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2016,
  • [9] Optimal control for discrete event systems with arbitrary control pattern
    Hu, Qiying
    Yue, Wuyi
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2006, 6 (03): : 535 - 558
  • [10] An optimal directed control framework for discrete event systems
    Huang, Jing
    Kumar, Ratnesh
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2007, 37 (05): : 780 - 791