Active control of road vehicle's drag for varying upstream flow conditions using a Recursive Subspace based Predictive Control methodology
arxiv(2024)
摘要
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 (RSPC) 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 (PIV) 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.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要