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Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission
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| Zeitschriftentitel: | IOP Conference Series: Materials Science and Engineering |
|---|---|
| Personen und Körperschaften: | , , |
| In: | IOP Conference Series: Materials Science and Engineering, 530, 2019, 1, S. 012031 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
|
| author_facet |
Hudha, K Nuri, N R M Mazlan, S A Hudha, K Nuri, N R M Mazlan, S A |
|---|---|
| author |
Hudha, K Nuri, N R M Mazlan, S A |
| spellingShingle |
Hudha, K Nuri, N R M Mazlan, S A IOP Conference Series: Materials Science and Engineering Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| author_sort |
hudha, k |
| spelling |
Hudha, K Nuri, N R M Mazlan, S A 1757-8981 1757-899X IOP Publishing http://dx.doi.org/10.1088/1757-899x/530/1/012031 <jats:title>Abstract</jats:title> <jats:p>This paper describes the application of the Gravitational Search Algorithm (GSA) for the optimization of the vehicle speed control in the longitudinal vehicle model equipped with Continuously Variable Transmission (CVT) system. In this study, multi-objective procedure which are to minimize the vehicle speed error and fuel usage has been proposed. For comparing and analysing the optimization results, CVT and Automatic Transmission (AT) are placed in the vehicle transmission model separately, and the Proportional, Integral and Derivative (PID) controller is implemented to control the vehicle speed. The simulation work is modelled and performed using MATLAB/Simulink software. Overall, the results show that the vehicle speed transient responses and fuel usage optimized by GSA are better than the values gained from PID controller.</jats:p> Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission IOP Conference Series: Materials Science and Engineering |
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| title |
Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_unstemmed |
Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_full |
Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_fullStr |
Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_full_unstemmed |
Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_short |
Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_sort |
multi-objective optimization of vehicle speed control using gravitational search algorithm for electro-mechanical continuously variable transmission |
| url |
http://dx.doi.org/10.1088/1757-899x/530/1/012031 |
| publishDate |
2019 |
| physical |
012031 |
| description |
<jats:title>Abstract</jats:title>
<jats:p>This paper describes the application of the Gravitational Search Algorithm (GSA) for the optimization of the vehicle speed control in the longitudinal vehicle model equipped with Continuously Variable Transmission (CVT) system. In this study, multi-objective procedure which are to minimize the vehicle speed error and fuel usage has been proposed. For comparing and analysing the optimization results, CVT and Automatic Transmission (AT) are placed in the vehicle transmission model separately, and the Proportional, Integral and Derivative (PID) controller is implemented to control the vehicle speed. The simulation work is modelled and performed using MATLAB/Simulink software. Overall, the results show that the vehicle speed transient responses and fuel usage optimized by GSA are better than the values gained from PID controller.</jats:p> |
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| author | Hudha, K, Nuri, N R M, Mazlan, S A |
| author_facet | Hudha, K, Nuri, N R M, Mazlan, S A, Hudha, K, Nuri, N R M, Mazlan, S A |
| author_sort | hudha, k |
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| container_title | IOP Conference Series: Materials Science and Engineering |
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| description | <jats:title>Abstract</jats:title> <jats:p>This paper describes the application of the Gravitational Search Algorithm (GSA) for the optimization of the vehicle speed control in the longitudinal vehicle model equipped with Continuously Variable Transmission (CVT) system. In this study, multi-objective procedure which are to minimize the vehicle speed error and fuel usage has been proposed. For comparing and analysing the optimization results, CVT and Automatic Transmission (AT) are placed in the vehicle transmission model separately, and the Proportional, Integral and Derivative (PID) controller is implemented to control the vehicle speed. The simulation work is modelled and performed using MATLAB/Simulink software. Overall, the results show that the vehicle speed transient responses and fuel usage optimized by GSA are better than the values gained from PID controller.</jats:p> |
| doi_str_mv | 10.1088/1757-899x/530/1/012031 |
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| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA4OC8xNzU3LTg5OXgvNTMwLzEvMDEyMDMx |
| imprint | IOP Publishing, 2019 |
| imprint_str_mv | IOP Publishing, 2019 |
| institution | DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14 |
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| physical | 012031 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher | IOP Publishing |
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| series | IOP Conference Series: Materials Science and Engineering |
| source_id | 49 |
| spelling | Hudha, K Nuri, N R M Mazlan, S A 1757-8981 1757-899X IOP Publishing http://dx.doi.org/10.1088/1757-899x/530/1/012031 <jats:title>Abstract</jats:title> <jats:p>This paper describes the application of the Gravitational Search Algorithm (GSA) for the optimization of the vehicle speed control in the longitudinal vehicle model equipped with Continuously Variable Transmission (CVT) system. In this study, multi-objective procedure which are to minimize the vehicle speed error and fuel usage has been proposed. For comparing and analysing the optimization results, CVT and Automatic Transmission (AT) are placed in the vehicle transmission model separately, and the Proportional, Integral and Derivative (PID) controller is implemented to control the vehicle speed. The simulation work is modelled and performed using MATLAB/Simulink software. Overall, the results show that the vehicle speed transient responses and fuel usage optimized by GSA are better than the values gained from PID controller.</jats:p> Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission IOP Conference Series: Materials Science and Engineering |
| spellingShingle | Hudha, K, Nuri, N R M, Mazlan, S A, IOP Conference Series: Materials Science and Engineering, Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title | Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_full | Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_fullStr | Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_full_unstemmed | Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_short | Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| title_sort | multi-objective optimization of vehicle speed control using gravitational search algorithm for electro-mechanical continuously variable transmission |
| title_unstemmed | Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission |
| url | http://dx.doi.org/10.1088/1757-899x/530/1/012031 |