Advanced Concepts For Boundary Layer Control
Abstract
New concepts for turbulent boundary layer control for viscous drag reduction have been explored through numerical experiments. Direct numerical simulations of a turbulent channel flow have been conducted to develop new robust control strategies. Three different control schemes have been developed. These include applications of neural networks, a suboptimal control theory, and systems control theory. The first two approaches were developed for viscous drag reduction in turbulent boundary layers, while the third approach was developed for delay of transition to turbulence. In all cases, surface blowing and suction was used as control input. All three approaches led to simple feedback control laws, which led to substantial viscous drag reduction (neural network and suboptimal control theory) and delay of transition (systems control theory). Implication of these results as well as issues regarding practical implementation are discussed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 27, 1998
- Accession Number
- ADA355992
Entities
People
- John J Kim
Organizations
- University of California, Los Angeles