MODEL PREDICTIVE CONTROL OF A HYDRAULIC ACTUATOR IN TORQUE APPLYING SYSTEM OF A MECHANICALLY CLOSED-LOOP TEST RIG FOR THE HELICOPTER GEARBOX

被引:10
|
作者
Parvaresh, Aida [1 ,2 ]
Mardani, Mohsen [2 ]
机构
[1] KN Toosi Univ Technol, Tehran, Iran
[2] Sharif Univ Technol, Branch ACECR, Tehran, Iran
关键词
system identification; model predictive controller; Closed-Loop test Rig; hydraulic actuator; high-powered gearboxes; helicopter gearbox health;
D O I
10.3846/aviation.2019.11869
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Transmission health is an important factor in safety and maintenance costs in industries, so construction of test rigs for testing high-powered gearboxes under different operating conditions of helicopters is required. The studied test rig, which is developed at Sharif University of Technology branch of ACECR (Academic Centre of Education, Culture and Research) is mainly used for testing high-powered gearboxes through a mechanically closed-loop procedure. For providing a variety of speeds and torques in test rigs, torque applying system is required. According to generation of higher forces, reduced size of equipment and accurate positioning, electro hydraulic actuators (EHAs) are used for applying torques for planetary gearboxes of this test rig. Due to the importance of applying accurate torques in evaluation of the gearbox performance, first an accurate model of EHA is derived, which captures the system dynamics using system identification method with low consumed time and simple relations. After that, a type of model predictive controller called dynamic matrix controller is proposed for controlling EHA under determined requirements. Then, the performance of proposed controller under normal conditions as well as in presence of disturbance is investigated. The results show a good tracking of controller for various reference inputs in different conditions. Moreover, the performance of the proposed controller is compared with the performance of classical proportional-integral-derivative (PID) controller and superior characteristics of the proposed controller is concluded.
引用
收藏
页码:143 / 153
页数:11
相关论文
共 50 条
  • [41] Optimal closed-loop identification test design for internal model control
    Zhu, YC
    van den Bosch, PPJ
    AUTOMATICA, 2000, 36 (08) : 1237 - 1241
  • [42] Model predictive control and identification: A new approach to closed-loop identification and adaptive control
    Schwarm, A
    Eker, SA
    Nikolaou, M
    THIRD INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS OPERATIONS, 1998, 94 (320): : 303 - 307
  • [43] Integrating a model predictive control into a spray dryer simulator for a closed-loop control strategy
    Poozesh, Sadegh
    Karam, Marc
    Akafuah, Nelson
    Wang, Yifen
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2021, 170 (170)
  • [44] Study and Implement on the Control System of Traction Locomotive Based on Torque current closed-loop
    Zong, Jian
    Ruan, Yi
    Chen, Ming-hui
    Xu, Li-bo
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 3502 - 3505
  • [45] Closed-loop stable model predictive control of integrating systems with dead time
    Santoro, Bruno F.
    Odloak, Darci
    JOURNAL OF PROCESS CONTROL, 2012, 22 (07) : 1209 - 1218
  • [46] Online identification of pharmacodynamic parameters for closed-loop anesthesia with model predictive control
    Aubouin-Pairault, Bob
    Fiacchini, Mirko
    Dang, Thao
    COMPUTERS & CHEMICAL ENGINEERING, 2024, 191
  • [47] On the Effects of Tunable Parameters of Model Predictive Control on the Locations of Closed-Loop Eigenvalues
    Garriga, Jorge L.
    Soroush, Masoud
    Soroush, H. M.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (17) : 7951 - 7956
  • [49] Stochastic closed-loop model predictive control of continuous nonlinear chemical processes
    Van Hessem, D
    Bosgra, O
    JOURNAL OF PROCESS CONTROL, 2006, 16 (03) : 225 - 241
  • [50] Explicit robust model predictive control using recursive closed-loop prediction
    Chu, Danlei
    Chen, Tongwen
    Marquez, Horacio J.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2006, 16 (11) : 519 - 546