Genetic algorithm optimization analysis for temperature control system using cascade control loop model
This research presented a holistic approach in determining the trade-off optimized Proportional-Integral-Derivative (PID) tunings for both servo and regulatory controls of the cascade control loop by using Genetic Algorithm (GA). Performance of GA-based PID tunings was significantly compared with th...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/85588 |
| _version_ | 1848764745613574144 |
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| author | Chew, Ing Wong, F. Bono, A. Nandong, Jobrun Wong, Kiing |
| author_facet | Chew, Ing Wong, F. Bono, A. Nandong, Jobrun Wong, Kiing |
| author_sort | Chew, Ing |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This research presented a holistic approach in determining the trade-off optimized Proportional-Integral-Derivative (PID) tunings for both servo and regulatory controls of the cascade control loop by using Genetic Algorithm (GA). Performance of GA-based PID tunings was significantly compared with the IMC-based single loop tunings and conventional cascade control tunings. GA-based PID tunings eliminated the complicated mathematic calculations in obtaining the correlation PID tuning values and also reduce the dependency on engineering knowledge, experience, and skills. The performance of transient and steady-state responses was compared through time domain specification, performance index, and process response curve. It is concluded that the GA-based PID tunings for the cascade control loop had produced the best result for both servo and regulatory control objectives, which is eventually determined. |
| first_indexed | 2025-11-14T11:24:14Z |
| format | Journal Article |
| id | curtin-20.500.11937-85588 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:24:14Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-855882021-09-30T01:03:44Z Genetic algorithm optimization analysis for temperature control system using cascade control loop model Chew, Ing Wong, F. Bono, A. Nandong, Jobrun Wong, Kiing This research presented a holistic approach in determining the trade-off optimized Proportional-Integral-Derivative (PID) tunings for both servo and regulatory controls of the cascade control loop by using Genetic Algorithm (GA). Performance of GA-based PID tunings was significantly compared with the IMC-based single loop tunings and conventional cascade control tunings. GA-based PID tunings eliminated the complicated mathematic calculations in obtaining the correlation PID tuning values and also reduce the dependency on engineering knowledge, experience, and skills. The performance of transient and steady-state responses was compared through time domain specification, performance index, and process response curve. It is concluded that the GA-based PID tunings for the cascade control loop had produced the best result for both servo and regulatory control objectives, which is eventually determined. 2020 Journal Article http://hdl.handle.net/20.500.11937/85588 10.12785/ijcds/090112 http://creativecommons.org/licenses/by-nc-nd/4.0/ fulltext |
| spellingShingle | Chew, Ing Wong, F. Bono, A. Nandong, Jobrun Wong, Kiing Genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| title | Genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| title_full | Genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| title_fullStr | Genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| title_full_unstemmed | Genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| title_short | Genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| title_sort | genetic algorithm optimization analysis for temperature control system using cascade control loop model |
| url | http://hdl.handle.net/20.500.11937/85588 |