A real-time multiple-model based control and identification of a nonlinear process

2003 ◽  
Author(s):  
A. Aminzadeh ◽  
A. A. Safavi ◽  
A. Khayatian
Keyword(s):  
Real Time ◽  
Nonlinear Process ◽  
Multiple Model ◽  
Model Based Control ◽  
Model Based

A STABLE REAL-TIME OPTIMAL MULTIPLE-MODEL BASED CONTROL OF A NONLINEAR PROCESS

2005 ◽  
Vol 38 (1) ◽  
pp. 889-894
Author(s):  
A.A. Safavi ◽  
A. Khayatian ◽  
A. Aminzadeh ◽  
Y.M. Talukder ◽  
M.H. Shaeed ◽  
...  
Keyword(s):  
Real Time ◽  
Nonlinear Process ◽  
Multiple Model ◽  
Model Based Control ◽  
Model Based ◽  
Time Optimal

Closed Loop Control of Resin Flow in VARTM Using a Multi-Segment Injection Line and Real-Time Adaptive, Model-Based Control

Materials ◽  
2005 ◽  
Author(s):  
Ajit R. Nalla ◽  
James L. Glancey
Keyword(s):  
Real Time ◽  
Closed Loop ◽  
Performance Metrics ◽  
Void Formation ◽  
Resin Flow ◽  
Time Model ◽  
Loop Control ◽  
Model Based Control ◽  
Model Based ◽  
Injection Line

To improve process controllability during VARTM, a new resin injection line was designed and tested. The injection line, which consists of multiple segments each independently operated, allows for the control of resin flow to different locations within the mold. Simulation of different injection line configurations for various mold geometries is studied. Performance of a prototype line is quantified with a laboratory size mold used to demonstrate the potential value and benefits of this approach. Specific performance metrics, including resin flow front controllability, total injection time and void formation are used to compare this new approach to conventional VARTM injection methods. Computer-based closed loop controller strategies are designed that use point sensor feedback of resin location. In addition, an adaptive control algorithm that uses a finite element model to provide real-time updates of the injection line configuration is presented. Experimental validation of two different control strategies is presented, and demonstrates that real-time, model-based control is possible in VARTM.

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