Closed-Loop Identification and Control of Multivariable Chemical Processes: a Case Study

2002 ◽  
pp. 163-177
Author(s):  
G. Marchetti ◽  
F. Tognini ◽  
C. Scali
Keyword(s):  
Closed Loop ◽  
Chemical Processes ◽  
Closed Loop Identification ◽  
And Control

Closed loop identification and control loop reconfiguration: an industrial case study

2001 ◽  
Vol 11 (5) ◽  
pp. 587-599 ◽  
Author(s):  
S. Lakshminarayanan ◽  
G. Emoto ◽  
S. Ebara ◽  
K. Tomida ◽  
Sirish L. Shah
Keyword(s):  
Closed Loop ◽  
Control Loop ◽  
Industrial Case Study ◽  
Closed Loop Identification ◽  
And Control

Two-Degree-of-Freedom Helicopter Closed-Loop Identification through a Cascade Controller

2011 ◽  
Vol 403-408 ◽  
pp. 4649-4658 ◽  
Author(s):  
Pouya Ghalei ◽  
Alireza Fatehi ◽  
Mohamadreza Arvan
Keyword(s):  
Closed Loop ◽  
Flight Simulation ◽  
Degree Of Freedom ◽  
Input Output ◽  
Closed Loop Identification ◽  
Practical Algorithm ◽  
Nonlinear Autoregressive Model ◽  
And Control ◽  
Nonlinear Autoregressive ◽  
Two Degree Of Freedom

Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.

Identification of Multi-Input Multi-Output Systems Using Combined Direct and Indirect Methods

2014 ◽  
Vol 625 ◽  
pp. 414-417
Author(s):  
Abdelraheem Faisal ◽  
Marappagounder Ramasamy ◽  
Mahadzir Shuhaimi ◽  
Mohamed Rahim
Keyword(s):  
Closed Loop ◽  
Mimo Systems ◽  
Open Loop ◽  
Identification Procedure ◽  
Indirect Methods ◽  
Representative Case ◽  
Closed Loop Identification ◽  
Decentralized Model ◽  
Direct And Indirect Methods

Successful deployment of cooperative decentralized model predicative control needs reasonably accurate subsystem interactions models. Processes in which open-loop tests are not permitted, closed-loop identification of subsystems interactions is crucial. An approach that combines the direct and indirect methods of closed-loop identification is proposed in this paper. It is shown that full dynamics of MIMO systems can be determined following a two-steps identification procedure. A representative case study is used to demonstrate the efficacy of the proposed approach.

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