Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization
A Multiobjective Particle Swarm Optimization (MOPSO) algorithm is proposed to fine-tune the baseline PI controller parameters of Alstom gasifier. The existing baseline PI controller is not able to meet the performance requirements of Alstom gasifier for sinusoidal pressure disturbance at 0% load. Th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/504706 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556958705516544 |
|---|---|
| author | R. Kotteeswaran L. Sivakumar |
| author_facet | R. Kotteeswaran L. Sivakumar |
| author_sort | R. Kotteeswaran |
| collection | DOAJ |
| description | A Multiobjective Particle Swarm Optimization (MOPSO) algorithm is proposed to fine-tune the baseline PI controller parameters of Alstom gasifier. The existing baseline PI controller is not able to meet the performance requirements of Alstom gasifier for sinusoidal pressure disturbance at 0% load. This is considered the major drawback of controller design. A best optimal solution for Alstom gasifier is obtained from a set of nondominated solutions using MOPSO algorithm. Performance of gasifier is investigated at all load conditions. The controller with optimized controller parameters meets all the performance requirements at 0%, 50%, and 100% load conditions. The investigations are also extended for variations in coal quality, which shows an improved stability of the gasifier over a wide range of coal quality variations. |
| format | Article |
| id | doaj-art-79bc600e17e24491a208777d616596af |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-79bc600e17e24491a208777d616596af2025-02-03T05:43:55ZengWileyModelling and Simulation in Engineering1687-55911687-56052014-01-01201410.1155/2014/504706504706Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm OptimizationR. Kotteeswaran0L. Sivakumar1Department of Instrumentation and Control Engineering, St. Joseph’s College of Engineering, Chennai 600119, IndiaElectrical Sciences, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu 641008, IndiaA Multiobjective Particle Swarm Optimization (MOPSO) algorithm is proposed to fine-tune the baseline PI controller parameters of Alstom gasifier. The existing baseline PI controller is not able to meet the performance requirements of Alstom gasifier for sinusoidal pressure disturbance at 0% load. This is considered the major drawback of controller design. A best optimal solution for Alstom gasifier is obtained from a set of nondominated solutions using MOPSO algorithm. Performance of gasifier is investigated at all load conditions. The controller with optimized controller parameters meets all the performance requirements at 0%, 50%, and 100% load conditions. The investigations are also extended for variations in coal quality, which shows an improved stability of the gasifier over a wide range of coal quality variations.http://dx.doi.org/10.1155/2014/504706 |
| spellingShingle | R. Kotteeswaran L. Sivakumar Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization Modelling and Simulation in Engineering |
| title | Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization |
| title_full | Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization |
| title_fullStr | Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization |
| title_full_unstemmed | Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization |
| title_short | Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization |
| title_sort | optimal tuning of decentralized pi controller of nonlinear multivariable process using archival based multiobjective particle swarm optimization |
| url | http://dx.doi.org/10.1155/2014/504706 |
| work_keys_str_mv | AT rkotteeswaran optimaltuningofdecentralizedpicontrollerofnonlinearmultivariableprocessusingarchivalbasedmultiobjectiveparticleswarmoptimization AT lsivakumar optimaltuningofdecentralizedpicontrollerofnonlinearmultivariableprocessusingarchivalbasedmultiobjectiveparticleswarmoptimization |