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 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.
Highlights
Vehicle seat suspension is applied to support the driver and make a user’s ride comfortable
To develop an advanced model-based controller that can be applied to practical application, this paper proposes a state observer-based Takagi-Sugeno fuzzy (OTSF) controller and provide the experimental validation
A T-S fuzzy model of the semi-active seat suspension has been proposed to cope with the nonlinearity of the ER damper and facilitate the controller design
Summary
Vehicle seat suspension is applied to support the driver and make a user’s ride comfortable. X. Tang et al.: T-S Fuzzy Model-Based Semi-Active Control for the Seat Suspension studied [7], [8]. In our previous work of [15], we designed a state observer for the T-S fuzzy controller so that it can be used for MR vehicle suspension in practical applications. To develop an advanced model-based controller that can be applied to practical application, this paper proposes a state observer-based Takagi-Sugeno fuzzy (OTSF) controller and provide the experimental validation With this controller, the nonlinear dynamic characteristics of the ER damper can be adequately considered in the controller design, and the desired performance of the semi-active seat suspension can be realized for a practical system. The experimental validation work leaves aside the T-S fuzzy model and moves to the H∞ controller in real-time
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