Identification of Dynamic Matrix and Noise Model Using Closed-loop Data

Author(s):  
Biao Huang ◽  
Ramesh Kadali
2020 ◽  
Vol 30 (5) ◽  
pp. 055007 ◽  
Author(s):  
Feng Bu ◽  
Xi Wang ◽  
Bo Fan ◽  
Shuwen Guo ◽  
Dacheng Xu ◽  
...  

Aviation ◽  
2020 ◽  
Vol 23 (4) ◽  
pp. 143-153
Author(s):  
Aida Parvaresh ◽  
Mohsen Mardani

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.


2016 ◽  
Vol 49 (7) ◽  
pp. 171-176 ◽  
Author(s):  
Morten Hagdrup ◽  
Dimitri Boiroux ◽  
Zeinab Mahmoudi ◽  
Henrik Madsen ◽  
Niels Kjølstad Poulsen ◽  
...  
Keyword(s):  

1995 ◽  
Vol 5 (3) ◽  
pp. 163-171 ◽  
Author(s):  
J.F. MacGregor ◽  
D.T. Fogal

Author(s):  
Ma’moun Abu-Ayyad ◽  
Abdelkader Abdessameud ◽  
Issam Abu-Mahfouz

This paper presents a novel algorithm of an infinite model predictive controller for controlling nonlinear multi-input multi-output (MIMO) processes. The new strategy uses a set of continuous nonlinear functions that captures the nonlinear characteristics of the MIMO plant over a wide operating range resulting in a more accurate prediction of the controlled variables. The method formulates a nonlinear dynamic matrix that is manipulated variable dependent during closed-loop control. The proposed algorithm was implemented on a nonlinear MIMO thermal system comprising of three temperature zones to be controlled with interacting effects. The experimental closed-loop responses of the proposed algorithm were compared to a multi-model dynamic matrix controller (DMC) with improved results for various setpoint trajectories. The MIMO process has nonlinear parameters such as process gain and time constant that are dependent on the size of the control actions. Good disturbance rejection was attained resulting in improved tracking of multi-setpoint profiles in comparison to multi-model DMC.


2001 ◽  
Vol 34 (25) ◽  
pp. 329-334
Author(s):  
Eduardo Shigueo Hori ◽  
Wu Hong Kwong

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