Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
In general, the multiple-input-multiple-output (MIMO) system is the main method of process control in industry. However, the interaction between variables in the process is a challenge when designing controllers for the system. Strong interaction worsens system performance. Inverted decoupling...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2019-05-01
|
| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/2922 |
| Summary: | In
general, the multiple-input-multiple-output (MIMO) system is the main
method of process control in industry. However, the interaction between
variables in the process is a challenge when designing controllers for the
system. Strong interaction worsens system performance. Inverted decoupling
plays an important role in reducing interaction in the process. Internal model
control (IMC) is the controller used in this research. A one degree of freedom
(1DoF) IMC controller is only able to provide a good response to set-point tracking, and has a slow response to disturbance
rejection. Therefore, a controller that has a good response to set-point tracking and disturbance rejection is a two degrees of
freedom (2DoF) IMC. The tuning method uses maximum peak gain margin (Mp-GM)
stability criteria based on the uncertainty model. In this study, a reduction in
interaction was realized by the addition of inverted decoupling to the 2DoF IMC
control scheme. The Wardle & Wood and Wood & Berry column
distillation models are given as illustrative examples to demonstrate the
performance of the inverted decoupling 2DoF IMC control scheme. A comparison is
made of the IAE values of 1DoF IMC, 2DoF IMC, decoupling 2DoF IMC, and inverted
decoupling 2DoF IMC, with inverted decoupling 2DoF IMC showing the lowest IAE
value. |
|---|---|
| ISSN: | 2086-9614 2087-2100 |