A seat suspension with a rotary magnetorheological damper for heavy duty vehicles

Sun, Shuaishuai; Ning, Donghong; Yang, Jian; Du, Haiping; Zhang, Shiwu; Li, Weihua

doi:10.1088/0964-1726/25/10/105032

Cited by 97 publications

(57 citation statements)

References 32 publications

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“…An H-infinity-state feedback controller was designed for a semiactive vibration control seating system, and the FW-RMS acceleration was reduced by 22.84% compared with passive vehicle suspension. At the same time, the generated RMS power was 1.21 W. For the controller design, Sky-hook control theory [22][23][24][25], H-infinity control algorithm [26][27][28][29][30][31][32], nonresonance theory [15] , on-off control strategy [33], fuzzy control theory [34][35][36], optimal control theory [37][38][39], lyapunov control scheme [40], PID control algorithm [41] and sliding-mode control algorithm [42] are applied for the design of the controllers.…”

Section: Figurementioning

confidence: 99%

A Review of Low-Frequency Active Vibration Control of Seat suspension Systems

Zhao

Wang

2019

Applied Sciences

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As a major device for reducing vibration and protecting passengers, the low-frequency vibration control performance of commercial vehicle seating systems has become an attractive research topic in recent years. This article reviews the recent developments in active seat suspensions for vehicles. The features of active seat suspension actuators and the related control algorithms are described and discussed in detail. In addition, the vibration control and reduction performance of active seat suspension systems are also reviewed. The article also discusses the prospects of the application of machine learning, including artificial neural network (ANN) control algorithms, in the development of active seat suspension systems for vibration control.

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Section: Figurementioning

confidence: 99%

A Review of Low-Frequency Active Vibration Control of Seat suspension Systems

Zhao

Wang

2019

Applied Sciences

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“…This research is supported under the Australian Research Council's Linkage Projects funding scheme (project number LP160100132), the University of Wollongong and China Scholarship Council joint scholarships (201608210142). cost and good performance, but output forces of controllable dampers are in most time nonlinear and constrained [10]. Generally speaking, active seat suspensions have the best performance among the three types of seat suspensions, because an additional control force device (actuator) can make suspension systems always stay in optimum vibration reduction state [11].…”

Section: Semi-active Seat Suspensions Have Simple Structures Lowmentioning

confidence: 99%

Robust Adaptive Sliding Mode PI Control for Active Vehicle Seat Suspension Systems

Ning

2019

2019 Chinese Control and Decision Conference (CCDC)

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In this paper, a robust adaptive sliding mode proportional integral control (RASMPIC) method is proposed for an active vehicle seat suspension system, where the driver's mass is supposed as an unknown parameter with boundaries. A dynamic active seat suspension system is established at first. Then a sliding mode controller (SMC) is designed to achieve the required ride comfort performance based on the driver's mass estimated by utilizing an adaptive law where a projecting adaptive algorithm is used to prevent the estimated parameters from surpassing their boundaries to enhance the robustness of the seat suspension system. Also, a proportional and integral (PI) control for driver's acceleration is added into the controller as RASMPIC for the stabilization of the proposed suspension system. In simulations, sinusoidal vibrations are used to test the controllers and the results show the RASMPIC has a better control performance to reduce driver's acceleration and improve the driving comfort than SMC and RASMC.Abstract: In this paper, a robust adaptive sliding mode proportional integral control (RASMPIC) method is proposed for an active vehicle seat suspension system, where the driver's mass is supposed as an unknown parameter with boundaries. A dynamic active seat suspension system is established at first. Then a sliding mode controller (SMC) is designed to achieve the required ride comfort performance based on the driver's mass estimated by utilizing an adaptive law where a projecting adaptive algorithm is used to prevent the estimated parameters from surpassing their boundaries to enhance the robustness of the seat suspension system. Also, a proportional and integral (PI) control for driver's acceleration is added into the controller as RASMPIC for the stabilization of the proposed suspension system. In simulations, sinusoidal vibrations are used to test the controllers and the results show the RASMPIC has a better control performance to reduce driver's acceleration and improve the driving comfort than SMC and RASMC.

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“…Apart from the advantage of a fast response, MRF also has the characteristics of low operational power consumption since a magnetic field induced yield stress of MRF can be achieved using an electromagnet with a low voltage and modest current (Olabi and Grunwald, 2007). Thus, since first introduced in 1984 (Rabinow, 1948), MRF attracted a lot of research attention in applications such as civil engineering (Dyke et al, 1996;Tse and Chang, 2004;Housner et al, 1997;Jung et al, 2004;Christie et al, 2019), medical rehabilitation and surgery (Liu et al, 2006;Nguyen et al, 2011b;Carlson et al, 2001;Gudmundsson et al, 2010), and automotive design (Sun et al, 2017;Sun et al, 2016;Tang et al, 2017;Sun et al, 2015;Neelakantan and Washington, 2005;Sassi et al, 2005).…”

Section: Introductionmentioning

confidence: 99%