Active control of road vehicle’s drag for varying upstream flow conditions using a recursive subspace based predictive control methodology

IF 5.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

The growing focus on reducing energy consumption, particularly in electric vehicles with limited autonomy, has prompted innovative solutions. In this context, we propose a real-time flap-based control system aimed at improving aerodynamic drag in real driving conditions. Employing a Recursive Subspace based Predictive Control approach, we conducted wind tunnel tests on a representative model vehicle at reduced scale equipped with flaps. Comprehensive assessments using pressure measurements and Particle Image Velocimetry were undertaken to evaluate the control efficiency. Static and dynamic perturbation tests were conducted, revealing the system’s effectiveness in both scenarios. The closed-loop controlled system demonstrated a substantial gain, achieving a 5% base pressure recovery.

利用基于递归子空间的预测控制方法,在上游水流条件变化时主动控制道路车辆的阻力
人们越来越重视降低能耗,尤其是在自动驾驶能力有限的电动汽车中,这促使我们提出了创新的解决方案。在此背景下,我们提出了一种基于襟翼的实时控制系统,旨在改善实际驾驶条件下的空气阻力。我们采用基于递归子空间的预测控制方法,对配备襟翼的代表性缩比模型车进行了风洞试验。利用压力测量和粒子图像测速仪进行了综合评估,以评价控制效率。进行的静态和动态扰动测试显示了系统在两种情况下的有效性。闭环控制系统获得了巨大的收益,实现了 5%的基本压力恢复。
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来源期刊
Control Engineering Practice
Control Engineering Practice 工程技术-工程:电子与电气
CiteScore
9.20
自引率
12.20%
发文量
183
审稿时长
44 days
期刊介绍: Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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