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Modeling and control of automotive antilock brake systems through PI and neural network arithmetic

机译:基于PI和神经网络算法的汽车防抱死制动系统建模与控制。

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The control logic of automotive Antilock Brake Systems (ABS) is introduced in this paper, which integrates PI controller and Neural Network arithmetic. A novelty of this paper is the ability to achieve superior performance through self-tuning controller which can realize robust control. Vehicle system and controller modeling and simulation are executed on software in the loop simulation platform with Matlab/Simulink. Some typical cases are simulated to verify the effect of the control algorithm. Results show that the self-tuning controller can improve the vehicle performance dramatically than traditional PI controller.
机译:介绍了汽车防抱死制动系统(ABS)的控制逻辑,该控制逻辑集成了PI控制器和神经网络算法。本文的新颖之处在于能够通过可实现鲁棒控制的自整定控制器实现出色的性能。使用Matlab / Simulink在回路仿真平台中的软件上执行车辆系统和控制器的建模和仿真。模拟了一些典型情况,以验证控制算法的效果。结果表明,自整定控制器可以比传统的PI控制器显着改善车辆性能。

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