首页|基于模糊推理的线控制动系统意图识别研究

基于模糊推理的线控制动系统意图识别研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
为提高线控制动系统制动意图识别的精准度，同时使其具备更强的制动场景适应能力，设计了一种基于模糊推理算法，由车辆挡位、轮胎转角、制动踏板开度及制动踏板速度作为特征参量，对驾驶员制动意图与车辆行驶场景进行实时推理的制动意图识别策略，并基于各场景下车辆的实际制动需求对线控制动系统管路期望压力数值及其动态特性进行了匹配。该策略采用基于永磁同步电机FOC控制算法的PID闭环压力控制策略对模糊推理模型在不同制动意图与制动场景下所分配期望压力进行实时跟踪的形式，实现了由期望压力到系统管路实际压力的精准转化，成功将不同场景下为期望压力所匹配的压力变化动态特性赋予了管路实际压力，实现了不同场景下线控制动系统实际压力动态特性的差异化控制。最终基于所制定的整体控制策略分别在AMEsim与Simulink内搭建了机械液压模型及控制算法模型并对其进行了制动意图识别与制动压力跟踪联合仿真，从而验证了该策略的有效性与实用性。
Research on brake intent recognition and control of EHB system based on fuzzy reasoning
In order to improve the accuracy of braking intent recognition of brake-by-wire system and make it have stronger bra-king scene adaptability,a braking intent recognition strategy based on fuzzy reasoning algorithm was designed,which uses vehicle gear,tire angle,brake pedal opening and brake pedal speed as characteristic parameters to reason the driver's braking intention and the vehicle driving scene in real time,and matches the expected pressure value and dynamic characteristics of the brake-by-wire system pipeline based on the actual braking demand of the vehicle in each scenario.This strategy adopts the PID closed-loop pressure control strategy based on the FOC control algorithm of permanent magnet synchronous motor to track the expected pres-sure assigned by the fuzzy inference model in different braking intentions and braking scenarios in real time,and realizes the ac-curate conversion from the expected pressure to the actual pressure of the system pipeline,and successfully assigns the dynamic characteristics of pressure changes matched to the expected pressure in different scenarios to the actual pressure of the pipeline,and realizes the differentiated control of the actual pressure dynamic characteristics of the offline control system in different sce-narios.Finally,based on the overall control strategy,a mechanical hydraulic model and a control algorithm model were built in AMEsim and Simulink,and braking intent recognition and brake pressure tracking were co-simulated,which verified the effective-ness and practicability of the strategy.

EHBSfuzzy reasoningbraking intention identificationpressure tracking controlfield-oriented controlbraking scene

吴光庆、孙有平、李崧、王国春

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广西科技大学机械与汽车工程学院,柳州 545006

广西土方机械协同创新中心,柳州 545006

湖南湖大艾盛汽车技术开发有限公司,长沙 410205

电子液压复合制动系统 模糊推理 制动意图识别 压力跟踪控制 磁场定向控制 制动场景

广西壮族自治区重点研发计划广西壮族自治区研究生教育创新计划长沙市科技计划

桂科AD22080042YCSW2023488kq2207008

2024

10.16731/j.cnki.1671-3133.2024.05.008

现代制造工程
北京机械工程学会 北京市机械工业局技术开发研究所

现代制造工程

CSTPCD北大核心
影响因子：0.374
ISSN：1671-3133
年,卷(期)：2024.(5)
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