A hybrid clustering based fuzzy structure for vibration control – Part 2: An application to semi-active vehicle seat-suspension system

2015 ◽  
Vol 56-57 ◽  
pp. 288-301 ◽  
Author(s):  
Sy Dzung Nguyen ◽  
Quoc Hung Nguyen ◽  
Seung-Bok Choi
2020 ◽  
Vol 51 (10) ◽  
pp. 176-185
Author(s):  
Andrzej Błażejewski ◽  
Sebastian Głowiński

In this work, the dedicated test stand was applied to investigate the human body–vehicle seat system. The particular signals were measured by accelerometers placed on the seat and the human head. The horizontal vibrations were applied as the input to the system. As an alternative to the classical Fourier approach, the wavelet transfer function was introduced to describe the effectiveness of particular seat suspension. The human head reaction was investigated as the system output.


2012 ◽  
Vol 23 (9) ◽  
pp. 1041-1048 ◽  
Author(s):  
Weihua Li ◽  
Xianzhou Zhang ◽  
Haiping Du

Driver fatigue is one of the leading factors contributing to road crashes. Environmental stress, such as unwanted seat vibration, is a key contributor to fatigue. This article presents the design and development of a magnetorheological elastomer isolator for a seat suspension system. By altering the magnetorheological elastomer isolator’s stiffness through a controllable magnetic field and selecting suitable control strategy, the system’s natural frequency can be changed to avoid resonance, which consequently reduce the vehicle’s vibration energy input to seat, and thus suppress the seat’s response. Experimental results show that the developed magnetorheological elastomer isolator is able to reduce vibration more when compared with the passive isolation system, indicating the significant potential of its application in vehicle seat vibration control.


2016 ◽  
Vol 23 (20) ◽  
pp. 3392-3413 ◽  
Author(s):  
Do Xuan Phu ◽  
Sang-Min Choi ◽  
Seung-Bok Choi

This paper presents a new hybrid controller which is a combination of three control schemes: fuzzy neural control, PI control and sliding mode control. The interval type 2 fuzzy model featuring updated rules via online is used in this study and in order to support the fuzzy model, a granular clustering method is applied to find groups of data related to the initial fuzzy rule. Then the output for fuzzy model is used for the PI-sliding mode controller. The combination of PI and sliding mode controls is carried out by H-infinity technique method which is rely on the modified Riccati-like equation. After developing the mathematical model, the proposed controller is applied to vibration control of a vehicle seat suspension featuring magneto-rheological (MR) damper. In order to demonstrate the effectiveness of the proposed controller, two different excitations of bump and random signals are adopted and corresponding vibration control performances are evaluated. It is demonstrated through both simulation and experiment that the proposed controller can provide much better than vibration control performance compared with the conventional controllers showing more robust stability.


PAMM ◽  
2007 ◽  
Vol 7 (1) ◽  
pp. 4130003-4130004
Author(s):  
Sebastian Chamera ◽  
Igor Maciejewski ◽  
Tomasz Krzyzynski

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