Ride Comfort and Wheel Load Fluctuation Compatible Control Using Variable Stiffness and Damping

Liu, Yanqing; Hozumi, Jin; Tabata, Masaaki

doi:10.1007/978-3-642-33795-6_29

Cited by 2 publications

(1 citation statement)

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“…Furthermore, by adding some designed nonlinear terms and introducing the concept of lumped mass method and virtual spring in the dynamic model, the controllers in [15], [16] can also provide the closed-loop asymptotic stability without any linearization for the original model. Till now, researchers have found that the good vibration reduction effectiveness is often controlled by the system using variable stiffness to reduce the low frequency responses of sprung mass accelerations and using variable damping to reduce the high frequency responses of wheel load fluctuations, respectively [17]. In the real-time VSVD control, however, the damping value and stiffness value in suspension system are complementary and coupled to each other.…”

Section: Introductionmentioning

confidence: 99%

A Takagi-Sugeno Fuzzy Model-Based Control Strategy for Variable Stiffness and Variable Damping Suspension

Tang

Ning

et al. 2020

IEEE Access

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As the concept of variable stiffness and variable damping (VSVD) has increasingly drawn attention, suspensions applied with magnetorheological (MR) dampers to achieve varying stiffness and damping have been an attractive method to improve vehicle performance and driver comfort further. As highly nonlinearity of MR damper dynamics and coupled interconnections in the case of multi-output control, to build a direct control system for VSVD suspension based on multiple MR dampers is difficult. Applying Takagi-Sugeno (T-S) fuzzy model on the VSVD system enables the linear control theory to be directly utilized to build the multi-output controller for multi-MR dampers. In this paper, a T-S fuzzy model is established to describe an MR VSVD suspension model, and then an H∞ controller that considers the multi-input/multi-output (MIMO) coupled interconnections characteristic and multi-object optimization is designed. To estimate state information for the T-S fuzzy model in real-time, a state observer is designed and integrated in the controller. Then, the performance of the VSVD control algorithm was evaluated by numerical simulation. The results demonstrate that the T-S fuzzy model-based H∞ controller outperforms the independent control method for a VSVD suspension system with multi-MR dampers. INDEX TERMS MIMO, robust control, Takagi-Sugeno fuzzy model, variable stiffness and variable damping.

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Section: Introductionmentioning

confidence: 99%