Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper
Numerous research studies have been performed to help develop advanced control algorithms for semi-active seat suspension. This paper experimentally investigates a state observer-based Takagi-Sugeno (T-S) fuzzy controller for a semi-active seat suspension by equipping an electrorheological (ER) damp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9094707/ |
| _version_ | 1818643172810555392 |
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| author | Xin Tang Donghong Ning Haiping Du Weihua Li Weijia Wen |
| author_facet | Xin Tang Donghong Ning Haiping Du Weihua Li Weijia Wen |
| author_sort | Xin Tang |
| collection | DOAJ |
| description | Numerous research studies have been performed to help develop advanced control algorithms for semi-active seat suspension. This paper experimentally investigates a state observer-based Takagi-Sugeno (T-S) fuzzy controller for a semi-active seat suspension by equipping an electrorheological (ER) damper. A new ER damper prototype is designed, assembled, and tested. Then, a T-S fuzzy model is established to describe the ER seat suspension, which can facilitate the H∞ controller design considering the multiobjective optimization. A state observer is established and integrated into the controller to estimate the state information for the T-S fuzzy model in real-time. Additionally, the experimental validation of the control algorithm is critical in the practical application. A seat suspension test rig is built to validate the effectiveness of the proposed controller. The presented control algorithm is evaluated by comparing the corresponding test results to those with a skyhook controller. The experimental results demonstrate that the proposed T-S fuzzy control method, compared to the traditional control method, can further improve the performance of an ER seat suspension system. |
| first_indexed | 2024-12-16T23:54:44Z |
| format | Article |
| id | doaj.art-9cf4122a19614572a45dc1ee60d50259 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T23:54:44Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9cf4122a19614572a45dc1ee60d502592022-12-21T22:11:14ZengIEEEIEEE Access2169-35362020-01-018980279803710.1109/ACCESS.2020.29952149094707Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological DamperXin Tang0https://orcid.org/0000-0001-7469-2394Donghong Ning1Haiping Du2https://orcid.org/0000-0002-3439-3821Weihua Li3Weijia Wen4Guangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, ChinaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, AustraliaGuangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, ChinaNumerous research studies have been performed to help develop advanced control algorithms for semi-active seat suspension. This paper experimentally investigates a state observer-based Takagi-Sugeno (T-S) fuzzy controller for a semi-active seat suspension by equipping an electrorheological (ER) damper. A new ER damper prototype is designed, assembled, and tested. Then, a T-S fuzzy model is established to describe the ER seat suspension, which can facilitate the H∞ controller design considering the multiobjective optimization. A state observer is established and integrated into the controller to estimate the state information for the T-S fuzzy model in real-time. Additionally, the experimental validation of the control algorithm is critical in the practical application. A seat suspension test rig is built to validate the effectiveness of the proposed controller. The presented control algorithm is evaluated by comparing the corresponding test results to those with a skyhook controller. The experimental results demonstrate that the proposed T-S fuzzy control method, compared to the traditional control method, can further improve the performance of an ER seat suspension system.https://ieeexplore.ieee.org/document/9094707/Seat suspensionsemi-active controlelectrorheological (ER) damperTakagi-Sugeno (T-S) fuzzy model |
| spellingShingle | Xin Tang Donghong Ning Haiping Du Weihua Li Weijia Wen Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper IEEE Access Seat suspension semi-active control electrorheological (ER) damper Takagi-Sugeno (T-S) fuzzy model |
| title | Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper |
| title_full | Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper |
| title_fullStr | Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper |
| title_full_unstemmed | Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper |
| title_short | Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension With an Electrorheological Damper |
| title_sort | takagi sugeno fuzzy model based semi active control for the seat suspension with an electrorheological damper |
| topic | Seat suspension semi-active control electrorheological (ER) damper Takagi-Sugeno (T-S) fuzzy model |
| url | https://ieeexplore.ieee.org/document/9094707/ |
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