Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension with an Electrorheological Damper

Journal Article

Abstract

• 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 $\text{H}\infty$ controller design considering the multi-objective 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.

• 2020

Citation

• X. Tang, D. Ning, H. Du, W. Li & W. Wen, "Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension with an Electrorheological Damper," IEEE Access, vol. 8, pp. 98027-98037, 2020.

Scopus Eid

• 2-s2.0-85087549320

• 10

• 98027

• 98037

• 8

Place Of Publication

• United States

Abstract

• 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 $\text{H}\infty$ controller design considering the multi-objective 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.

• 2020

Citation

• X. Tang, D. Ning, H. Du, W. Li & W. Wen, "Takagi-Sugeno Fuzzy Model-Based Semi-Active Control for the Seat Suspension with an Electrorheological Damper," IEEE Access, vol. 8, pp. 98027-98037, 2020.

Scopus Eid

• 2-s2.0-85087549320

• 10

• 98027

• 98037

• 8

Place Of Publication

• United States