Adaptive extremum seeking scheme for ABS control

Dinçmen, Erkin

doi:10.1109/vss.2014.6881160

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…The convergence is in finite time due to the sgn function in (5). Further mathematical proof can be found in [17]. Unlike to the classical sliding mode control theory, after a finite time interval, the sliding surface variable s will be not zero but a constant value.…”

Section: Algorithm Developmentmentioning

confidence: 98%

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Self optimizing ABS control algorithm with application

Dinçmen

Altınel

2015

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)

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A self optimizing control algorithm is applied to the ABS control problem where the algorithm accomplishes to maximize friction potential of the tires during braking in unknown road conditions. Simulation studies are conducted to show effectiveness of the controller. The algorithm is also tested in an experimental setup. In order to control a real electromechanical braking system, necessary observers are designed and integrated with the algorithm. Experimental study shows the performance of the control algorithm.

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Section: Algorithm Developmentmentioning

confidence: 98%

“…By using the estimated tire force value x F and angular velocities x 1 and x 2 , one can calculate the desired braking moment M des from (17). But in the experimental ABS unit shown in Fig.…”

Section: (17)mentioning

confidence: 99%

Self optimizing ABS control algorithm with application

Dinçmen

Altınel

2015

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)

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“…Therefore, wheel control is usually considered as non-linear control problem, especially, when the aim is anti-block regulation (ABS control). Advanced, nonlinear and adaptive techniques are applied and investigated in [7][8][9] and [10]. In these articles, feedback-delay is considered as well.…”

Section: Introductionmentioning

confidence: 99%

Bifurcation analysis of a wheel‐slip control loop under low wheel‐slip regulation considering time‐delay

Horváth,

Béda

2023

Proc Appl Math and Mech

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Safety and efficiency are key aspects of research and development in the automotive industry, especially in the field of safety‐critical subsystems, such as brake systems. The effect of time delay arise in brake systems, this adverse effect can cause performance degradations or make the brake system unstable. In this study, the bifurcation analysis of a wheel slip control feedback loop is presented. The control system consists of a wheel and a tyre, delayed actuator dynamics, and an LQR (linear quadratic regulator) that is designed to operate under relatively low wheel slip, during service braking. As a result, it is shown, that if time delay is neglected, the steady‐state solution of the model is globally stable using the LQ optimal controller gains. However, considering nonzero time‐delay may cause a subcritical Hopf‐bifurcation, and an unstable limit‐cycle exists around the steady‐state solution in a large domain of time‐delay parameters. Critical bifurcation maps and simulation results with more detailed system models are generated and shown in the study.

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“…When the adhesion coefficients of different rail surfaces are estimated, the practical slip ratio can be controlled to reach the optimal slip ratio corresponding to the peak value of adhesion coefficients. In general, two methods are used to obtain real‐time optimal slip ratio: a model‐based method [4] and a method based on the online estimation of extreme values [5]. The model‐based method identifies the parameters in the model online according to classic models of adhesion characteristic curves, such as least square estimation [6] and maximum likelihood estimator [7], to find the extremum in mathematical models and obtain the optimal slip ratio.…”

Section: Introductionmentioning

confidence: 99%