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2 result(s) for "Sun, Canhang"
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Research on a novel displacement-dependent semi-active valve damping control mechanism used in the seat suspension system
The passive suspension seats have been widely used in off-road vehicles, but the drivers still suffer from the greater vibration and shock transmitted from the rough road, adversely affecting the drivers’ health and vehicle handling safety. Although active suspension seats have been researched and developed in engineering and academia for more than 30 years, they have rarely been applied in the industry due to the complex electrical structures and high costs. In this paper, a novel valve damping control system (VDCS) used in the off-road vehicle seat suspension is proposed and studied, which is a mechanical semi-active damping control system without ECUs and sensors. Firstly, the structures and working principles of VDCS are described in detail. Then, the dynamics model of the seat suspension system with VDCS is established, and simulation and experimental research are performed to evaluate its shock and vibration isolation performance. The results show that a seat suspension with VDCS is much better for isolating vibrations and shocks than one with a traditional manual adjustment damper in the whole workspace.
Improvement of vibration isolation performance of multi-mode control seat suspension system through road recognition using wavelet-LSTM approach
Extensive research has significantly improved the vibration isolation performance of off-road vehicle seat suspensions, effectively addressing issues such as driver fatigue, and low-back pain. However, variations caused by road roughness, vehicle speed, and load can lead to stability switches and sudden events in seat vibration excitation. Ignoring these factors in semi-active and active seat suspensions can cause insufficient robustness and excessive costs. To address this, we propose an intelligent damping switching method that optimizes seat suspension damping mode by considering the stability and suddenness of excitation. Utilizing a long short-term memory (LSTM) network, we accurately identify stability, while the multi-input and multi-output optimization (MIMO) method labels the network input through system identification of the seat dynamics model. Event trigger (ET) handles suddenness effectively. By combining these techniques, our approach achieves effective vibration isolation while maintaining the desired suspension deflection. Comparative analysis validates our novel seat suspension control system design approach.