Stochastic optimal preview control response of a quarter-car nonlinear suspension model using spectral decomposition method

Rao, LVV Gopala; Sharma, Rakesh Chandmal; Satyanarayana, V. S. V.; Palli, Srihari

doi:10.1177/09574565221093234

Cited by 14 publications

(18 citation statements)

References 35 publications

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“…This is also the reason that the NSE and NSE-SM were researched and embedded into the seat suspension, [9][10][11][12][13][14][15][16][17][18][19][20] concurrently, the damping coefficients of the vehicle suspension systems were independently controlled. [2][3][4][5][6][7][8] However, combining both the NSE-SM and the control of the damping coefficient c s for the seat suspension has not been considered. Thus, this issue needs to be further studied in future work.…”

Section: Discussionmentioning

confidence: 99%

“…where F 1,2 and F t1,t2 are the front/rear force responses of the vehicle suspension systems and wheels determined in equation (2), respectively; F s is the force response of the seat's suspension calculated in the seat's dynamic models.…”

Section: Vehicle's Dynamic Modelmentioning

confidence: 99%

“…The traditional seat suspension (TSS) of the vehicle was designed by a damper and steel spring installed in parallel on the vehicle floor. [1][2][3][4][5] Due to the TSS's low performance in reducing the seat's vibration, three vibration models of the NSE, DE, and NSE-SM are then embedded into the TSS to enhance the TSS's isolation performance and improve the rider comfort of the driver.…”

Section: Dynamic Models Of the Seat Suspensionmentioning

confidence: 99%

“…The isolation performance of suspension systems was mainly evaluated via three indexes of ride quality, suspension deformation, and road friendliness. [1][2][3]23 With the seat suspension of the vehicles, the suspension deformation was assessed based on the root mean square seat displacement (z ws ), whereas the ride performance of the driver was assessed based on the root mean square seat acceleration (a ws ). 5,23 The values of z ws and a ws are expressed by:…”

Section: Evaluating Indexmentioning

confidence: 99%

“…In order to ameliorate the ride performance of the vehicles, the traditional suspensions of the seat and cab were replaced by using the air spring or semi-active seat suspension with its controlled damping coefficient had been researched. 1,2 The optimal control methods of the genetic algorithm and cultural algorithm-fuzzy controls [3][4][5] or the combined control methods of the fuzzy-PID control, machine learning algorithm, and neuro-fuzzy [6][7][8] had been also researched to further enhance the vehicle's ride comfort as well as the seat suspension's performance. The study results indicated that the vehicle's ride performance was remarkably ameliorated by semi-active suspensions.…”

Section: Introductionmentioning

confidence: 99%

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Ride performance of driver’s seat suspension system using various dynamics models

Zhou

Nguyen

Hua

et al. 2022

Noise & Vibration Worldwide

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The research has proposed three isolation models of the negative-stiffness-element (NSE), the damping-element (DE), and the NSE embedded to the small mass (NSE-SM) that was connected with the seat suspension to ameliorate the ride comfort of the driver. A vibration model of the vehicle and seat built under the random and bumpy excitations has been used for evaluating the isolation performance of the NSE, DE, and NSE-SM. The effect of the NSE, DE, and NSE-SM’s dynamic parameters on their isolation performance is then evaluated via the root-mean-square values of the seat displacement ( z ws) and seat acceleration ( a ws). Based on the genetic algorithm, the NSE, DE, and NSE-SM’s dynamic parameters are optimized to fully reflect their isolation performance. The investigation result indicates that the driver’s ride comfort is slightly affected by the geometric dimension ratios of the NSE, DE, and NSE-SM, while the driver’s ride comfort is greatly affected by the damping and stiffness parameters; and the damping and stiffness ratios of the NSE, DE, and NSE-SM. With the optimized parameters of the NSE, DE, and NSE-SM, the simulation results under the different operating conditions of the vehicle show that the DE slightly improves the driver’s ride comfort. Conversely, both the NSE and NSE-SM greatly improve the driver’s ride comfort, especially the NSE-SM. Therefore, the model of the seat suspension embedded by the NSE-SM should be applied for improving the driver’s ride comfort.

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