Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7
This paper shows two optimization methods that are built on a spider optimization algorithm to enhance the proportional integral and derivative (PID) gain values for multiple-input-multiple-output (MIMO) arrangement which is automated with SIMATIC PCS7 Distributed Control System (SDCS). The leading...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/379370 |
| _version_ | 1797206914935816192 |
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| author | J. Vijay Anand* P. S. Manoharan J. Jeyadheep Vignesh M. Varatharajan M. Rubina Sherin |
| author_facet | J. Vijay Anand* P. S. Manoharan J. Jeyadheep Vignesh M. Varatharajan M. Rubina Sherin |
| author_sort | J. Vijay Anand* |
| collection | DOAJ |
| description | This paper shows two optimization methods that are built on a spider optimization algorithm to enhance the proportional integral and derivative (PID) gain values for multiple-input-multiple-output (MIMO) arrangement which is automated with SIMATIC PCS7 Distributed Control System (SDCS). The leading methodologies are the Spider Search Algorithm (SSA) and Social Spider Optimization (SSO) which is meant primarily for optimizing PID gain values. The SSA is based on foraging strategy of colonial spiders and SSO works on the combined plan of the male and female spiders that removes the episodes of local optimization and exploration elusion. Thus, SSA and SSO are contrived for the ideal fine-tuning of PID conditions in the benchmark MIMO procedure. The system performance is understood by minimizing the integral absolute error (IAE) and the integral square error (ISE) as its objective functions. The time-domain features are examined for the aforesaid methods and thereafter compared with the previous genetic algorithm (GA). The settling time is 60s for the proposed method which is lesser than the other techniques. For illustrating the implemented controller's strength, interference is manually presented in the real-time system. Findings indicate that the SSO surpasses output measures and performance indices beyond the presupposed SSA and GA intervals. |
| first_indexed | 2024-04-24T09:14:36Z |
| format | Article |
| id | doaj.art-2f69041c1d294ac5afc20667a7231339 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:14:36Z |
| publishDate | 2021-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-2f69041c1d294ac5afc20667a72313392024-04-15T17:06:50ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392021-01-012841118112610.17559/TV-20200513113443Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7J. Vijay Anand*0P. S. Manoharan1J. Jeyadheep Vignesh2M. Varatharajan3M. Rubina Sherin4Thiagarajar College of Engineering, Department of Electrical and Electronics Engineering, Thiruparankundram, Madurai 625 015 Tamilnadu, IndiaThiagarajar College of Engineering, Department of Electrical and Electronics EngineeringThiagarajar College of Engineering, Department of Electrical and Electronics EngineeringThiagarajar College of Engineering, Department of Electrical and Electronics EngineeringThiagarajar College of Engineering, Department of Electrical and Electronics EngineeringThis paper shows two optimization methods that are built on a spider optimization algorithm to enhance the proportional integral and derivative (PID) gain values for multiple-input-multiple-output (MIMO) arrangement which is automated with SIMATIC PCS7 Distributed Control System (SDCS). The leading methodologies are the Spider Search Algorithm (SSA) and Social Spider Optimization (SSO) which is meant primarily for optimizing PID gain values. The SSA is based on foraging strategy of colonial spiders and SSO works on the combined plan of the male and female spiders that removes the episodes of local optimization and exploration elusion. Thus, SSA and SSO are contrived for the ideal fine-tuning of PID conditions in the benchmark MIMO procedure. The system performance is understood by minimizing the integral absolute error (IAE) and the integral square error (ISE) as its objective functions. The time-domain features are examined for the aforesaid methods and thereafter compared with the previous genetic algorithm (GA). The settling time is 60s for the proposed method which is lesser than the other techniques. For illustrating the implemented controller's strength, interference is manually presented in the real-time system. Findings indicate that the SSO surpasses output measures and performance indices beyond the presupposed SSA and GA intervals.https://hrcak.srce.hr/file/379370Adaptive controlOptimizing PID gainsSimatic PCS7Social Spider OptimizationSpider Search AlgorithmSimatic manager |
| spellingShingle | J. Vijay Anand* P. S. Manoharan J. Jeyadheep Vignesh M. Varatharajan M. Rubina Sherin Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7 Tehnički Vjesnik Adaptive control Optimizing PID gains Simatic PCS7 Social Spider Optimization Spider Search Algorithm Simatic manager |
| title | Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7 |
| title_full | Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7 |
| title_fullStr | Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7 |
| title_full_unstemmed | Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7 |
| title_short | Spider Search Algorithms for MIMO System and Assessment Using Simatic PCS7 |
| title_sort | spider search algorithms for mimo system and assessment using simatic pcs7 |
| topic | Adaptive control Optimizing PID gains Simatic PCS7 Social Spider Optimization Spider Search Algorithm Simatic manager |
| url | https://hrcak.srce.hr/file/379370 |
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