2019
DOI: 10.1080/00051144.2019.1637053
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Adaptive optimal slip ratio estimator for effective braking on a non-uniform condition road

Abstract: In this paper, an adaptive algorithm is developed which senses the road condition change and estimates a (time-varying) optimal braking slip ratio. This is conducted by two on-line simultaneously operating tire-road friction-curve slope calculators: one based on the accelerometer output and the other based on the wheel speed. The required vehicle speed is estimated using a robust sliding-mode observer. Enforcement of the online optimal braking reference is left to an adaptive sliding mode controller to cope wi… Show more

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Cited by 13 publications
(13 citation statements)
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“…The determination of s fref and s bref depends on road factors and vehicle condition, and can be determined by optimal search methods or by dynamic tire model. 4,5,40 And it is not within the scope of this study. In the experiments of the study, s fref is 15% and s bref is 215% in the study.…”
Section: Intervention and End Mechanismmentioning
confidence: 98%
See 1 more Smart Citation
“…The determination of s fref and s bref depends on road factors and vehicle condition, and can be determined by optimal search methods or by dynamic tire model. 4,5,40 And it is not within the scope of this study. In the experiments of the study, s fref is 15% and s bref is 215% in the study.…”
Section: Intervention and End Mechanismmentioning
confidence: 98%
“…On the non-uniform road, an optimal slip ratio is estimated through a dynamic tire model to improve vehicle braking performance on the road of changing conditions. 4 With estimated vehicle speed, the Burckhardt tire model is also used to estimate the friction coefficient and the optimal slip ratio. 5 Besides, an alternative formulation is proposed to replace the simple slip ratio to improve the nonlinear dynamics of vehicle traction.…”
Section: Introductionmentioning
confidence: 99%
“…Sometimes, one tire is already nearing its limit while the workload of others is relatively low, which impeded the further improvement of vehicle stability. A part from this, Model Predictive Control (MPC) was applied to the anti-slip control of distributed drive vehicles to achieve slip control, lateral stability, and rollover prevention in recent years [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Concerning uncertainty in the network, robust controller design is highly appreciative to preserve system performance despite uncontrolled disturbances. Common approaches toward robust designs are fractional order [13], various sliding mode approaches [14,15], μ synthesis [16], H ∞ controllers, using Linear Matrix Inequality (LMI), and applying Kharitonov theorem. In [17], a robust state feedback centralized controller in terms of LMI constraints has been developed.…”
Section: Introductionmentioning
confidence: 99%