As a typical batch process, injection molding has the following unique features compared to traditional continuous processes: repeatability, two-dimensional dynamics and stages based operations. A sophisticated control algorithm shall exploit all these features. In this paper, a systematic two-dimensional model predictive iterative learning control algorithm is introduced to control the injection molding process with the injection velocity as an application example. The experimental results prove that the control algorithm has good performance and robustness
265 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The control algorithms are im...
By representing an iterative learning control (ILC) system as a two-dimensional system and using the...
To improve stability and convergence, feedback control is often incorporated with iterative learning...
Closed-loop control of key process variables in injection molding has become an essential part of th...
A batch process can be viewed as a 2-dimensional (2D) system with a time dimension within each batch...
Batch processes like injection molding are inherently a two-dimensional process with multi-phase dyn...
Owing to the natures of batch processes, such as high nonlinearity, time-varying, and limited batch ...
Mold-open position (MOP) is an important variable in the injection molding machine (IMM) control sys...
Multi-phase batch process is common in industry, such as injection molding process, fermentation and...
Injection molding, an important polymer processing technique, is a complex cyclic process during whi...
A batch process can be treated as a 2-dimentional (2D) system with a time dimension within each batc...
On the basis of the two-dimensional linear quadratic (2DLQ) optimal control developed in the first p...
Convergence is an important issue in the design and application of iterative learning control (ILC) ...
In batch process, it is very important to closed-loop control the key process variables in the quali...
Based on a two-dimensional (2D) system description of a batch process in industry, a robust closed-l...
265 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The control algorithms are im...
By representing an iterative learning control (ILC) system as a two-dimensional system and using the...
To improve stability and convergence, feedback control is often incorporated with iterative learning...
Closed-loop control of key process variables in injection molding has become an essential part of th...
A batch process can be viewed as a 2-dimensional (2D) system with a time dimension within each batch...
Batch processes like injection molding are inherently a two-dimensional process with multi-phase dyn...
Owing to the natures of batch processes, such as high nonlinearity, time-varying, and limited batch ...
Mold-open position (MOP) is an important variable in the injection molding machine (IMM) control sys...
Multi-phase batch process is common in industry, such as injection molding process, fermentation and...
Injection molding, an important polymer processing technique, is a complex cyclic process during whi...
A batch process can be treated as a 2-dimentional (2D) system with a time dimension within each batc...
On the basis of the two-dimensional linear quadratic (2DLQ) optimal control developed in the first p...
Convergence is an important issue in the design and application of iterative learning control (ILC) ...
In batch process, it is very important to closed-loop control the key process variables in the quali...
Based on a two-dimensional (2D) system description of a batch process in industry, a robust closed-l...
265 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The control algorithms are im...
By representing an iterative learning control (ILC) system as a two-dimensional system and using the...
To improve stability and convergence, feedback control is often incorporated with iterative learning...