Finite-time control for the lateral dynamics of intelligent car: a sliding mode event triggering approach

Qingshen Yu, Zhi Liu, Xing Chu
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Abstract

This essay investigates the lateral dynamics control problem of an intelligent car with respect to bounded disturbances. A sliding mode controller is designed to address the above issue by introducing an event triggering mechanism. Compared with existing lateral motion adjustment algorithms with periodic control, unnecessary signal samplings, transmissions, computations and actuations are avoided, which indirectly saves the limited energy. In addition, finite-time convergence performance is achieved due to the sliding mode. Finally, numerical simulation experiments are used to illustrate the theoretic results
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智能汽车横向动力学的有限时间控制:滑模事件触发方法
研究了一种考虑有界扰动的智能汽车横向动力学控制问题。滑模控制器通过引入事件触发机制来解决上述问题。与现有的周期控制横向运动调节算法相比,避免了不必要的信号采样、传输、计算和驱动,间接节省了有限的能量。此外,由于滑模的存在,该算法具有有限时间收敛性能。最后,通过数值模拟实验对理论结果进行了验证
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