Multi objective barnacle mating optimization for control design of a pendulum system
This paper presents a MultiObjective Barnacle Mating Optimization (MOBMO) and its application to optimize controller parameters for an inverted pendulum system. The algorithm is an extended version of a single-objective Barnacle Mating Optimization (BMO). In terms of solving a complex problem that h...
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| Format: | Conference or Workshop Item |
| Language: | en en |
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IEEE
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/35295/1/Multi%20objective%20barnacle%20mating%20optimization%20for%20control%20design%20of%20a%20pendulum%20system.pdf http://umpir.ump.edu.my/id/eprint/35295/2/Multi%20objective%20barnacle%20mating%20optimization%20for%20control%20design%20of%20a%20pendulum%20system_FULL.pdf http://umpir.ump.edu.my/id/eprint/35295/ https://doi.org/ 10.1109/ETCCE51779.2020.9350881 |
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| author | Abd Razak, Ahmad Azwan Nasir, Ahmad Nor Kasruddin Abd Ghani, N. M. Mhd Rizal, Nurul Amira Mat Jusof, Mohd Falfazli Muhamad, Ikhwan Hafiz |
| author_facet | Abd Razak, Ahmad Azwan Nasir, Ahmad Nor Kasruddin Abd Ghani, N. M. Mhd Rizal, Nurul Amira Mat Jusof, Mohd Falfazli Muhamad, Ikhwan Hafiz |
| author_sort | Abd Razak, Ahmad Azwan |
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| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents a MultiObjective Barnacle Mating Optimization (MOBMO) and its application to optimize controller parameters for an inverted pendulum system. The algorithm is an extended version of a single-objective Barnacle Mating Optimization (BMO). In terms of solving a complex problem that has two conflicting objectives, a multiobjective type BMO is needed. Therefore, in the proposed MOBMO, nondominated sorting and crowding distance approaches are incorporated into BMO as a technique to formulate the multiobjective algorithm. The proposed algorithm is tested on various multiobjective benchmark functions. Its performance in terms of accuracy and diversity attainment to find a theoretical pareto front solution is analyzed. Moreover the proposed MOBMO is applied to optimize control parameters for PD controls of a pendulum system. The performance of the proposed MOBMO is compared with Multiobjective Water Cycle Algorithm (MOWCA). Result of the benchmark functions test shows that the proposed algorithm has attained a higher accuracy and a competitive diversity in locating the theoretical front solution. For its application to optimize PD control parameters, both MOWCA and MOBMO have successfully attained a good pareto front solution and controlled the pendulum sufficiently good. Overall performance, the proposed MOBMO has outperformed MOWCA for accuracy attainment and achieved the same level of diversity performance. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.35295 |
| institution | Universiti Malaysia Pahang |
| language | en en |
| publishDate | 2020 |
| publisher | IEEE |
| record_format | eprints |
| spelling | my.ump.umpir.352952022-09-27T02:45:07Z http://umpir.ump.edu.my/id/eprint/35295/ Multi objective barnacle mating optimization for control design of a pendulum system Abd Razak, Ahmad Azwan Nasir, Ahmad Nor Kasruddin Abd Ghani, N. M. Mhd Rizal, Nurul Amira Mat Jusof, Mohd Falfazli Muhamad, Ikhwan Hafiz TK Electrical engineering. Electronics Nuclear engineering This paper presents a MultiObjective Barnacle Mating Optimization (MOBMO) and its application to optimize controller parameters for an inverted pendulum system. The algorithm is an extended version of a single-objective Barnacle Mating Optimization (BMO). In terms of solving a complex problem that has two conflicting objectives, a multiobjective type BMO is needed. Therefore, in the proposed MOBMO, nondominated sorting and crowding distance approaches are incorporated into BMO as a technique to formulate the multiobjective algorithm. The proposed algorithm is tested on various multiobjective benchmark functions. Its performance in terms of accuracy and diversity attainment to find a theoretical pareto front solution is analyzed. Moreover the proposed MOBMO is applied to optimize control parameters for PD controls of a pendulum system. The performance of the proposed MOBMO is compared with Multiobjective Water Cycle Algorithm (MOWCA). Result of the benchmark functions test shows that the proposed algorithm has attained a higher accuracy and a competitive diversity in locating the theoretical front solution. For its application to optimize PD control parameters, both MOWCA and MOBMO have successfully attained a good pareto front solution and controlled the pendulum sufficiently good. Overall performance, the proposed MOBMO has outperformed MOWCA for accuracy attainment and achieved the same level of diversity performance. IEEE 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35295/1/Multi%20objective%20barnacle%20mating%20optimization%20for%20control%20design%20of%20a%20pendulum%20system.pdf pdf en http://umpir.ump.edu.my/id/eprint/35295/2/Multi%20objective%20barnacle%20mating%20optimization%20for%20control%20design%20of%20a%20pendulum%20system_FULL.pdf Abd Razak, Ahmad Azwan and Nasir, Ahmad Nor Kasruddin and Abd Ghani, N. M. and Mhd Rizal, Nurul Amira and Mat Jusof, Mohd Falfazli and Muhamad, Ikhwan Hafiz (2020) Multi objective barnacle mating optimization for control design of a pendulum system. In: 2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020 , 21 - 22 December 2020 , Virtual, Dhaka. pp. 1-5. (9350881). ISBN 978-166541962-8 (Published) https://doi.org/ 10.1109/ETCCE51779.2020.9350881 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Abd Razak, Ahmad Azwan Nasir, Ahmad Nor Kasruddin Abd Ghani, N. M. Mhd Rizal, Nurul Amira Mat Jusof, Mohd Falfazli Muhamad, Ikhwan Hafiz Multi objective barnacle mating optimization for control design of a pendulum system |
| title | Multi objective barnacle mating optimization for control design of a pendulum system |
| title_full | Multi objective barnacle mating optimization for control design of a pendulum system |
| title_fullStr | Multi objective barnacle mating optimization for control design of a pendulum system |
| title_full_unstemmed | Multi objective barnacle mating optimization for control design of a pendulum system |
| title_short | Multi objective barnacle mating optimization for control design of a pendulum system |
| title_sort | multi objective barnacle mating optimization for control design of a pendulum system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/35295/1/Multi%20objective%20barnacle%20mating%20optimization%20for%20control%20design%20of%20a%20pendulum%20system.pdf http://umpir.ump.edu.my/id/eprint/35295/2/Multi%20objective%20barnacle%20mating%20optimization%20for%20control%20design%20of%20a%20pendulum%20system_FULL.pdf http://umpir.ump.edu.my/id/eprint/35295/ https://doi.org/ 10.1109/ETCCE51779.2020.9350881 |
| url_provider | http://umpir.ump.edu.my/ |