CAJ | 학술논문

结合当前着力提高ABS系统控制精度的研究热点，本文首先介绍了ABS的基本组成与工作原理，之后以滑移率为研究对象，对运用逻辑门限值控制、Bang -Bang控制、模糊PID控制、神经网络控制4种方法进行了详细介绍并建立了各自的控制模型，最后在Matlab7．0/Simulink联合仿真平台分别对车辆模型在高、中、低附着系数路面上进行制动仿真。仿真结果分析表明，神经网络控制效果较好，具有很强的适应性和鲁棒性。
결합당전착력제고ABS계통공제정도적연구열점，본문수선개소료ABS적기본조성여공작원리，지후이활이솔위연구대상，대운용라집문한치공제、Bang -Bang공제、모호PID공제、신경망락공제4충방법진행료상세개소병건립료각자적공제모형，최후재Matlab7．0/Simulink연합방진평태분별대차량모형재고、중、저부착계수로면상진행제동방진。방진결과분석표명，신경망락공제효과교호，구유흔강적괄응성화로봉성。
Combined with the current focus on improving the ABS system to control the accuracy of the research hotspots ,the paper first introduces the basic components of the ABS works ,after the slip rate study on the use of logic threshold control ,Bang -Bang control ,fuzzy PID control ,neural network control methods are described in detail and the respective control model ,the last in the United Matlab7 .0/Simulink simulation platform of vehicle models in the high , medium and low adhesion coefficient road brake simulation .The simulation results show that the neural network control is better ,has a strong adaptability and robustness .