2020
DOI: 10.1177/0957456520923320
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Abstract: With the development of automobile technology, the traditional passive suspension cannot meet people’s requirements for vehicle comfort and safety. For this reason, a variable damping semi-active suspension applied magnetorheological damper is proposed. By collecting various performance parameters of the front suspension, the optimal feedback control matrix is obtained by applying linear quadratic Gaussian control strategy, and the optimal damping force output is also obtained to improve comfort and v… Show more

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Cited by 8 publications
(5 citation statements)
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“…The bump road profile for full vehicle model is designed as follow: The second road profile type is chosen as random road surface, which is obtained from Ref. [17].…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…The bump road profile for full vehicle model is designed as follow: The second road profile type is chosen as random road surface, which is obtained from Ref. [17].…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…The H∞ optimal controller based on sliding mode observer designed by Xiaolong Wang et al [7] can accurately estimate the unknown disturbance of the seat suspension system, and improve the performance index of the seat suspension and the driver 's ride comfort. Sha Shujing et al [8] used the adaptive learning function of BP neural network to integrate the control parameters of the traditional PID seat suspension in real time by collecting the deviation signal, so that the seat suspension has better adaptability and damping effect. Ma shuo et al [9] studied a PID control method of active seat suspension system based on low-pass filtering, which effectively improved the performance index of active seat suspension system.…”
Section: Of 20mentioning
confidence: 99%
“…en, the force is independent of the velocity and only depends on the current into the coil. en, just for the controller design, equation (28) represents the ideal MR damper model where i is the current sent by the controller and C is a constant in a range i � 0-1.75 􏼂 􏼃 A. us, when the simulation is made in Simulink ™ , it is necessary to include a Current Limiter if the controller is oversaturated as proposed in [29]:…”
Section: Hybrid Controllermentioning
confidence: 99%
“…In the different control strategies investigated, an effort has been made to optimize a performance index as the minimization of root-mean-quad weighted acceleration [27] or the use of an optimal feedback controller through linear quadratic approaches [28][29][30]. In this last approach, the control strategy was complemented with an inverse model of the MR damper and Artificial Neural Networks.…”
Section: Introductionmentioning
confidence: 99%