Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine
This paper expands a fuzzy sliding mode based controller which sliding function is on-line tuned by sliding mode fuzzy algorithm. The main goal is to guarantee acceptable trajectories tracking between the internal combustion engine (IC engine) air to fuel ratio and the desired input. The fuzzy contr...
| Main Authors: | , , , |
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| Format: | Article |
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IDOSI Publications
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23389/ |
| _version_ | 1848844744741879808 |
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| author | Piltan, Farzin Sulaiman, Nasri Talooki, Iraj Asadi Ferdosali, Payman |
| author_facet | Piltan, Farzin Sulaiman, Nasri Talooki, Iraj Asadi Ferdosali, Payman |
| author_sort | Piltan, Farzin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper expands a fuzzy sliding mode based controller which sliding function is on-line tuned by sliding mode fuzzy algorithm. The main goal is to guarantee acceptable trajectories tracking between the internal combustion engine (IC engine) air to fuel ratio and the desired input. The fuzzy controller in proposed fuzzy sliding mode controller is based on Mamdani’s fuzzy inference system (FIS) and it has one input and one output. The input represents the function between sliding function, error and the rate of error. The outputs represent fuel ratio, respectively. The sliding mode fuzzy methodology is on-line tune the sliding function based on self tuning methodology. The performance of the sliding mode fuzzy on-line tune fuzzy sliding mode controller (SFOFSMC) is validated through comparison with previously developed IC engine controller based on sliding mode control theory (SMC). Simulation results signify good performance of fuel ratio in presence of uncertainty and external disturbance. |
| first_indexed | 2025-11-15T08:35:48Z |
| format | Article |
| id | upm-23389 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T08:35:48Z |
| publishDate | 2011 |
| publisher | IDOSI Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-233892015-11-06T13:38:14Z http://psasir.upm.edu.my/id/eprint/23389/ Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine Piltan, Farzin Sulaiman, Nasri Talooki, Iraj Asadi Ferdosali, Payman This paper expands a fuzzy sliding mode based controller which sliding function is on-line tuned by sliding mode fuzzy algorithm. The main goal is to guarantee acceptable trajectories tracking between the internal combustion engine (IC engine) air to fuel ratio and the desired input. The fuzzy controller in proposed fuzzy sliding mode controller is based on Mamdani’s fuzzy inference system (FIS) and it has one input and one output. The input represents the function between sliding function, error and the rate of error. The outputs represent fuel ratio, respectively. The sliding mode fuzzy methodology is on-line tune the sliding function based on self tuning methodology. The performance of the sliding mode fuzzy on-line tune fuzzy sliding mode controller (SFOFSMC) is validated through comparison with previously developed IC engine controller based on sliding mode control theory (SMC). Simulation results signify good performance of fuel ratio in presence of uncertainty and external disturbance. IDOSI Publications 2011 Article PeerReviewed Piltan, Farzin and Sulaiman, Nasri and Talooki, Iraj Asadi and Ferdosali, Payman (2011) Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine. World Applied Sciences Journal, 15 (3). pp. 422-428. ISSN 1818-4952; ESSN: 1991-6426 http://www.idosi.org/wasj/wasj15%283%292011.htm |
| spellingShingle | Piltan, Farzin Sulaiman, Nasri Talooki, Iraj Asadi Ferdosali, Payman Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| title | Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| title_full | Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| title_fullStr | Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| title_full_unstemmed | Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| title_short | Designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| title_sort | designing on-line tunable gain fuzzy sliding mode controller using sliding mode fuzzy algorithm: applied to internal combustion engine |
| url | http://psasir.upm.edu.my/id/eprint/23389/ http://psasir.upm.edu.my/id/eprint/23389/ |