Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization
In bulk drug production industries water level control at a precise point is a major dispute. Loss in production at the initial stage is observed until the water level reaches desired level. Pharmaceutical industries can however earn more profit if they could maintain precise water level control at...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Centro Latinoamericano de Estudios en Informática
2023-09-01
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| Series: | CLEI Electronic Journal |
| Subjects: | |
| Online Access: | https://clei.org/cleiej/index.php/cleiej/article/view/569 |
| _version_ | 1827809179603042304 |
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| author | Hafiz Shaikh Hafiz Neelima R. Kulkarni Mayuresh V. Bakshi |
| author_facet | Hafiz Shaikh Hafiz Neelima R. Kulkarni Mayuresh V. Bakshi |
| author_sort | Hafiz Shaikh Hafiz |
| collection | DOAJ |
| description |
In bulk drug production industries water level control at a precise
point is a major dispute. Loss in production at the initial stage
is observed until the water level reaches desired level. Pharmaceutical
industries can however earn more profit if they could maintain
precise water level control at the initial stage of production. To synchronize
the water level precisely having best performance parameters,
this work introduces Particle Swarm Optimization (PSO) and Grey
Wolf Optimization (GWO). By determining the mathematical model,
the method for water proportion (level) control in the bridged tanks
for the MIMO system may be accomplished. The prior step for system
identification is by observing the open-loop response of the system.
This can be processed by analyzing the actual parameters of the coupled
tank. State-space analysis of coupled tanks is explained in detail
along with its conversion into transfer function. In this paper, the
inherent parameters required for the calculation are discussed. MATLAB
is used as the platform for observing the responses. Observations
from the PID controller articulate that, there is a need for a better controller
to enhance the performance. Performance analysis along with
its discussion is conferred in this paper.
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| first_indexed | 2024-03-11T22:38:15Z |
| format | Article |
| id | doaj.art-c59d1f6767ad456c955622dc070603e5 |
| institution | Directory Open Access Journal |
| issn | 0717-5000 |
| language | English |
| last_indexed | 2024-03-11T22:38:15Z |
| publishDate | 2023-09-01 |
| publisher | Centro Latinoamericano de Estudios en Informática |
| record_format | Article |
| series | CLEI Electronic Journal |
| spelling | doaj.art-c59d1f6767ad456c955622dc070603e52023-09-22T11:10:10ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002023-09-0126210.19153/cleiej.26.2.7Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimizationHafiz Shaikh Hafiz0Neelima R. Kulkarni1Mayuresh V. Bakshi2PhD StudentPES Modern College of EngineeringVishwakarma Institute of Information and Technology In bulk drug production industries water level control at a precise point is a major dispute. Loss in production at the initial stage is observed until the water level reaches desired level. Pharmaceutical industries can however earn more profit if they could maintain precise water level control at the initial stage of production. To synchronize the water level precisely having best performance parameters, this work introduces Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). By determining the mathematical model, the method for water proportion (level) control in the bridged tanks for the MIMO system may be accomplished. The prior step for system identification is by observing the open-loop response of the system. This can be processed by analyzing the actual parameters of the coupled tank. State-space analysis of coupled tanks is explained in detail along with its conversion into transfer function. In this paper, the inherent parameters required for the calculation are discussed. MATLAB is used as the platform for observing the responses. Observations from the PID controller articulate that, there is a need for a better controller to enhance the performance. Performance analysis along with its discussion is conferred in this paper. https://clei.org/cleiej/index.php/cleiej/article/view/569Arithmetic ModelOptimizationGWOPSO |
| spellingShingle | Hafiz Shaikh Hafiz Neelima R. Kulkarni Mayuresh V. Bakshi Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization CLEI Electronic Journal Arithmetic Model Optimization GWO PSO |
| title | Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization |
| title_full | Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization |
| title_fullStr | Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization |
| title_full_unstemmed | Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization |
| title_short | Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization |
| title_sort | mathematical modeling of coupled tank interacting system for controlling water level using gwo and pso optimization |
| topic | Arithmetic Model Optimization GWO PSO |
| url | https://clei.org/cleiej/index.php/cleiej/article/view/569 |
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