Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques
In this paper, an off-line optimized PID controller algorithm, utilizing swarm intelligence is developed, for a laboratory-scaled water distribution system. The swarm intelligence optimization techniques are simulated in MATLAB and Simulink Tools. The two techniques used are Particle Swarm Intellige...
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| Format: | Conference or Workshop Item |
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2022
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| _version_ | 1796866941703421952 |
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| author | Kosmani, Nur Fathen Amira Ting, Rickey Pek Eek Sahlan, Shafishuhaza Robert, Max Alexander Jonquil, Casson Low, Jun Yi Hasnu Al Hadi, Anis Nadiah Husna Anuar, Aiman Najmi Rosli, Khairul Ijlal Ab. Rahim, Mohd. Fadzil Ishak, Mohamad Hafis Izran Abdul Manaf, Mohamad Shukri |
| author_facet | Kosmani, Nur Fathen Amira Ting, Rickey Pek Eek Sahlan, Shafishuhaza Robert, Max Alexander Jonquil, Casson Low, Jun Yi Hasnu Al Hadi, Anis Nadiah Husna Anuar, Aiman Najmi Rosli, Khairul Ijlal Ab. Rahim, Mohd. Fadzil Ishak, Mohamad Hafis Izran Abdul Manaf, Mohamad Shukri |
| author_sort | Kosmani, Nur Fathen Amira |
| collection | ePrints |
| description | In this paper, an off-line optimized PID controller algorithm, utilizing swarm intelligence is developed, for a laboratory-scaled water distribution system. The swarm intelligence optimization techniques are simulated in MATLAB and Simulink Tools. The two techniques used are Particle Swarm Intelligence (PSO) and Grey Wolf Optimization (GWO). An efficient controller produces a better system, i.e. the attainment of optimized level of the reservoir tank of the system in meeting customers demand. Hence by implementing the optimization techniques, the performance of the PID-controller, is improved, by generating the optimal values of the PID parameters, thus improving the system’s performance. When the optimized parameters are applied to the system, output response of the system using PSO and GWO are compared and analyzed. From the results obtained, it can be observed that GWO produces better results than PSO, specifically in the reduction of the system performance’s overshoot. |
| first_indexed | 2024-03-05T21:19:43Z |
| format | Conference or Workshop Item |
| id | utm.eprints-100750 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:19:43Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | utm.eprints-1007502023-05-07T06:08:38Z http://eprints.utm.my/100750/ Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques Kosmani, Nur Fathen Amira Ting, Rickey Pek Eek Sahlan, Shafishuhaza Robert, Max Alexander Jonquil, Casson Low, Jun Yi Hasnu Al Hadi, Anis Nadiah Husna Anuar, Aiman Najmi Rosli, Khairul Ijlal Ab. Rahim, Mohd. Fadzil Ishak, Mohamad Hafis Izran Abdul Manaf, Mohamad Shukri TK Electrical engineering. Electronics Nuclear engineering In this paper, an off-line optimized PID controller algorithm, utilizing swarm intelligence is developed, for a laboratory-scaled water distribution system. The swarm intelligence optimization techniques are simulated in MATLAB and Simulink Tools. The two techniques used are Particle Swarm Intelligence (PSO) and Grey Wolf Optimization (GWO). An efficient controller produces a better system, i.e. the attainment of optimized level of the reservoir tank of the system in meeting customers demand. Hence by implementing the optimization techniques, the performance of the PID-controller, is improved, by generating the optimal values of the PID parameters, thus improving the system’s performance. When the optimized parameters are applied to the system, output response of the system using PSO and GWO are compared and analyzed. From the results obtained, it can be observed that GWO produces better results than PSO, specifically in the reduction of the system performance’s overshoot. 2022 Conference or Workshop Item PeerReviewed Kosmani, Nur Fathen Amira and Ting, Rickey Pek Eek and Sahlan, Shafishuhaza and Robert, Max Alexander and Jonquil, Casson and Low, Jun Yi and Hasnu Al Hadi, Anis Nadiah Husna and Anuar, Aiman Najmi and Rosli, Khairul Ijlal and Ab. Rahim, Mohd. Fadzil and Ishak, Mohamad Hafis Izran and Abdul Manaf, Mohamad Shukri (2022) Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques. In: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022, 2 March 2022 - 3 March 2022, Virtual, Online. http://dx.doi.org/10.1007/978-981-19-3923-5_42 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Kosmani, Nur Fathen Amira Ting, Rickey Pek Eek Sahlan, Shafishuhaza Robert, Max Alexander Jonquil, Casson Low, Jun Yi Hasnu Al Hadi, Anis Nadiah Husna Anuar, Aiman Najmi Rosli, Khairul Ijlal Ab. Rahim, Mohd. Fadzil Ishak, Mohamad Hafis Izran Abdul Manaf, Mohamad Shukri Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques |
| title | Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques |
| title_full | Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques |
| title_fullStr | Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques |
| title_full_unstemmed | Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques |
| title_short | Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques |
| title_sort | optimized pid controller of a laboratory scaled water distribution system via swarm intelligence techniques |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
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