Integral MRAC With Bounded Switching Gain for Vehicle Lateral Tracking

نویسندگان

چکیده

In this article, an enhanced model reference adaptive control (EMRAC) algorithm is used to design a generic lateral-tracking controller for vehicle. This EMRAC different from the in literature as it adopts ?-modification approach bind gain of switching action. Moreover, extended Lyapunov theory discontinuous systems analytically prove ultimate boundedness closed-loop system when action bounded with strategy. The applied vehicle path-tracking problem and its tracking performance investigated under conditions of: 1) external disturbances such crosswind; 2) road surface changes; 3) modeling errors; 4) parameter missmatches co-simulation environment based on IPG Carmaker/MATLAB. simulation studies show that effective at given path performing autonomous highway driving maneuvers while ensuring all signals even subjected mentioned above.

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ژورنال

عنوان ژورنال: IEEE Transactions on Control Systems and Technology

سال: 2021

ISSN: ['1558-0865', '2374-0159', '1063-6536']

DOI: https://doi.org/10.1109/tcst.2020.3024586