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Yayın A gain-switched self-optimizer for braking controller(John Wiley and Sons Ltd, 2017-06) Dinçmen, ErkinAn emergency braking controller is developed with improved operation characteristics near the maximum friction zone. The methodology is based on self-seeking a-priori unknown optimum operation point to maximize a performance function representing the optimal behavior of the considered dynamic system. Sliding mode with uncertain direction of control vector approach is utilized in the algorithm. An adaptive variable gain is utilized in the algorithm to improve its performance. Via the variable gain, both fast convergence to the a-priori unknown optimum operation point and reduced magnitude of oscillations in the braking moment inputs resulting less aggressive control action are achieved.Yayın An emergency braking controller based on extremum seeking with experimental implementation(Springer Berlin Heidelberg, 2018-03-01) Dinçmen, Erkin; Altınel, TunçAn extremum seeking scheme is developed for maximizing the longitudinal tire forces of the road vehicles during emergency braking situations. If the road condition is known, then a conventional braking controller could generate required braking moment to track the slip set point which belongs to that road condition. However, estimating the road condition is not an easy task and it brings additional computation effort. Rather than that, a self optimization algorithm is presented in this paper without relying on road condition estimation. The developed controller searches optimum operation point for getting maximum friction force. Computer simulations show the effectiveness of the self optimization routine. To validate the real time applicability of the algorithm, an electromechanical braking test system is used for the experiments. Due to the limited measurements from the experimental system, force and moment observers are designed to calculate necessary control inputs for maximizing the friction potential, i.e. the braking force. Via the experimental study, it has been shown that the developed self optimizing controller is fast, accurate, and operable on a real braking system.Yayın Self optimizing ABS control algorithm with application(Institute of Electrical and Electronics Engineers Inc, 2015) Dinçmen, Erkin; Altınel, TunçA 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.
