2018
DOI: 10.1177/0020294018795321
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Adaptive backstepping sliding mode control for wheel slip tracking of vehicle with uncertainty observer

Abstract: The wheel slip tracking control is the basis of automatic braking control systems, and the accurate tracking for the desired wheel slip in the presence of lumped uncertainty is a vital guarantee of automatic braking control systems reliable operation. Therefore, an adaptive backstepping sliding mode control approach with radial basis function neural network is proposed to design the nonlinear robust wheel slip controller based on a quarter-vehicle model with lumped uncertainty. The radial basis function neural… Show more

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Cited by 24 publications
(21 citation statements)
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“…In fact, the backstepping method has been presented for the control of vehicle active suspensions and hybrid electric vehicle induction motors, and the results have confirmed the improved ride comfort of the passengers [25], [26].…”
Section: Introductionmentioning
confidence: 82%
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“…In fact, the backstepping method has been presented for the control of vehicle active suspensions and hybrid electric vehicle induction motors, and the results have confirmed the improved ride comfort of the passengers [25], [26].…”
Section: Introductionmentioning
confidence: 82%
“…The controller is composed of the SMC ABS Step input of target brake pressure. algorithm, which is described in equations (24) and (25), and the brake-pressure controller proposed in this paper. The SMC ABS algorithm monitors the vehicle speed v and the wheel speed ω from the vehicle model, and generates the desired brake pressure P WC_desired when the wheel begins to slip.…”
Section: B Verfication By Simulink Based On Abs Aigorithmmentioning
confidence: 99%
“…The parallel parking in one maneuver is implemented under the conditions that the length and width of the parking space are set to the minimum length and the minimum width of the parking space and the coordinate of the starting point is set to [4,3]. The simulation results are shown in Figure 13.…”
Section: Parallel Parking In One Maneuvermentioning
confidence: 99%
“…Song, 9 and Harifi et al, 10 design an integral switching surface based on the sum of the tracking error of the wheel slip and its integral to reduce the chattering phenomenon in Unsal and Kachroo, 7 Buckholtz. 8 Zhang and Li, 11 proposed an adaptive backstepping sliding mode controller with uncertainty observer for wheel slip tracking control, and the uncertainty observer based on radial basis function neural network was to reduce the chattering phenomenon by online estimating and compensating the uncertainty of the system. Amodeo et al, 12 proposed a wheel slip tracking controller with tire-road friction coefficient observer based on the second-order SMC approach, which could generate continuous control actions and keep the robustness characteristic of the conventional SMC approach.…”
Section: Introductionmentioning
confidence: 99%