Real-time data acquisition for anti-lock brake system test-rig with intelligent controller

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Modelling Identification and Control Pub Date : 2023-01-01 DOI:10.1504/ijmic.2023.133437
Mohammed H. Al Mola, Musa Mailah, Mohd Azli Bin Salim
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Abstract

Data acquisition (DAQ) is the link between the physical phenomena of any dynamic system and the computer. This device supplies the associated research applications with high demonstration I/O, industry primary innovations, and lower performance gains in software. This paper presents the design of an anti-lock braking device for ground vehicles within the laboratory and low-cost assembly compared to other designs and the superior control performance of the proposed technique. It uses DAQ for calculation and LabVIEW simulation software to analyse, display, and store data in real-time. The experimental set-up with AC motor assembled with the lower cast iron wheel, rubber vehicle wheel, brake pedal, and attached with the hydraulic actuator. The DAQ operated as a link between the computer and the apparatus to demonstrate the performance of the suggested dynamic system. The intelligent active force control technique was merged into the control system and the physical performance of the test rig was presented digitally in LabVIEW software. The results demonstrate the efficiency and favourable reaction of the proposed control approach with the test rig offering superior tracking of 0.21 slip ratio and steady braking on dry roads with a 12.49% reduction in braking distance when compared to other approaches.
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基于智能控制器的防抱死制动系统试验台实时数据采集
数据采集(DAQ)是连接任何动态系统的物理现象和计算机的纽带。该设备为相关的研究应用提供了高示范I/O,行业主要创新和较低的软件性能增益。本文介绍了实验室地面车辆防抱死制动装置的设计,与其他设计相比,该设计成本低,并且具有优越的控制性能。采用DAQ进行计算,LabVIEW仿真软件对数据进行实时分析、显示和存储。实验装置用交流电机装配下铁轮、橡胶车轮、制动踏板,并附有液压执行器。DAQ作为计算机和仪器之间的连接来演示所建议的动态系统的性能。将智能主动控制技术融入到控制系统中,并在LabVIEW软件中数字化展示了试验台的物理性能。结果表明,所提出的控制方法的效率和良好的反应,与其他方法相比,试验台提供了0.21滑移率的优越跟踪和干燥道路上的稳定制动,制动距离减少了12.49%。
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来源期刊
CiteScore
1.70
自引率
57.10%
发文量
52
期刊介绍: Most of the research and experiments in the fields of science, engineering, and social studies have spent significant efforts to find rules from various complicated phenomena by observations, recorded data, logic derivations, and so on. The rules are normally summarised as concise and quantitative expressions or “models". “Identification" provides mechanisms to establish the models and “control" provides mechanisms to improve the system (represented by its model) performance. IJMIC is set up to reflect the relevant generic studies in this area.
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