Control of a hydrolyzer using neural-network based controller
Hydrolyzer is a commonly found unit operation in oleochemical industry. Control of hydrolyzer has to be done carefully since efficiency in the control of this unit will affect the yield of the process. At present conventional controllers such as PI and PID have been used to achieve the setpoint espe...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/10955/1/CONTROL_OF_A_HYDROLYZER.pdf |
| _version_ | 1796946156815646720 |
|---|---|
| author | Hussain, Mohd Azlan Aroua, Mohamed Kheireddine Lim, J.S. |
| author_facet | Hussain, Mohd Azlan Aroua, Mohamed Kheireddine Lim, J.S. |
| author_sort | Hussain, Mohd Azlan |
| collection | UM |
| description | Hydrolyzer is a commonly found unit operation in oleochemical industry. Control of hydrolyzer has to be done carefully since efficiency in the control of this unit will affect the yield of the process. At present conventional controllers such as PI and PID have been used to achieve the setpoint especially under presence of disturbances. In this study, neural network have been applied as an alternative to cope with the dynamics behavior of the hydrolyzer. Two types of control strategies namely, direct inverse controller (DIC) and internal model controller (IMC) were implemented in the control system. Two sets of data were used to develop the DIC and IMC. The controllers were evaluated on the ability to track set-points, load disturbance and noise disturbance test and the IMC was found to be the most versatile controller. |
| first_indexed | 2024-03-06T05:27:25Z |
| format | Conference or Workshop Item |
| id | um.eprints-10955 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:27:25Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | um.eprints-109552021-02-10T03:19:30Z http://eprints.um.edu.my/10955/ Control of a hydrolyzer using neural-network based controller Hussain, Mohd Azlan Aroua, Mohamed Kheireddine Lim, J.S. TA Engineering (General). Civil engineering (General) Hydrolyzer is a commonly found unit operation in oleochemical industry. Control of hydrolyzer has to be done carefully since efficiency in the control of this unit will affect the yield of the process. At present conventional controllers such as PI and PID have been used to achieve the setpoint especially under presence of disturbances. In this study, neural network have been applied as an alternative to cope with the dynamics behavior of the hydrolyzer. Two types of control strategies namely, direct inverse controller (DIC) and internal model controller (IMC) were implemented in the control system. Two sets of data were used to develop the DIC and IMC. The controllers were evaluated on the ability to track set-points, load disturbance and noise disturbance test and the IMC was found to be the most versatile controller. 2009-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/10955/1/CONTROL_OF_A_HYDROLYZER.pdf Hussain, Mohd Azlan and Aroua, Mohamed Kheireddine and Lim, J.S. (2009) Control of a hydrolyzer using neural-network based controller. In: CHEMECA Conference 2009, 27-30 Sept 2009, Perth, Australia. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Hussain, Mohd Azlan Aroua, Mohamed Kheireddine Lim, J.S. Control of a hydrolyzer using neural-network based controller |
| title | Control of a hydrolyzer using neural-network based controller |
| title_full | Control of a hydrolyzer using neural-network based controller |
| title_fullStr | Control of a hydrolyzer using neural-network based controller |
| title_full_unstemmed | Control of a hydrolyzer using neural-network based controller |
| title_short | Control of a hydrolyzer using neural-network based controller |
| title_sort | control of a hydrolyzer using neural network based controller |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.um.edu.my/10955/1/CONTROL_OF_A_HYDROLYZER.pdf |
| work_keys_str_mv | AT hussainmohdazlan controlofahydrolyzerusingneuralnetworkbasedcontroller AT arouamohamedkheireddine controlofahydrolyzerusingneuralnetworkbasedcontroller AT limjs controlofahydrolyzerusingneuralnetworkbasedcontroller |