An Analytical and Empirical Basis for the Design of Turbulence Amplifiers: Part I: Analysis and Experimental Confirmation

1973 ◽  
Vol 95 (2) ◽  
pp. 133-140
Author(s):  
A. C. Bell
Keyword(s):  
Flow Characteristics ◽  
Design Procedure ◽  
Rational Basis ◽  
Operating Characteristics ◽  
Empirical Relationships ◽  
Stability And Control ◽  
Jet Stability ◽  
Rational Procedure ◽  
Pressure Part ◽  
And Control

The design of turbulence amplifiers is given a rational basis by identifying the critical parameter groups necessary to completely specify the performance of a given element, deriving by analysis or experiment the relationships between these nondimensional parameter groups, and developing a rational procedure for obtaining a quantitative dimensioned set of operating characteristics from these relationships. Part I of this paper outlines the problem, identifies the required relations, and presents analyses confirmed by data. These analyses develop relationships for tube pressure-flow characteristics, jet attenuation, and recovered pressure. Part II presents empirical relationships specifying jet stability and control characteristics, and develops a design procedure with an example.

An Analytical and Empirical Basis for the Design of Turbulence Amplifiers: Part II: Empirical Relationships and Design Procedure

1973 ◽  
Vol 95 (2) ◽  
pp. 141-147 ◽  
Author(s):  
A. C. Bell
Keyword(s):  
Flow Characteristics ◽  
Design Procedure ◽  
Direct Analysis ◽  
Pressure Control ◽  
Control Flow ◽  
Working Fluid ◽  
Control Performance ◽  
Empirical Relationships ◽  
Output Pressure ◽  
Direct Extension

This paper is a direct extension of Part I. The relationships important to turbulence amplifier characteristics but not amenable to direct analysis are empirically determined in this part. These include the output pressure-control flow characteristics, the influence of amplifier geometry on control performance, and data on the location of the free (uncontrolled) transition that always occurs in the main jet. With this information and the results of Part I of this paper, a design procedure is presented and confirmed by an example compared with measured data. The procedure is useful for the design of turbulence amplifiers operating with air as the working fluid.

Nonlinear analysis of stability and control for an F-16 configuration

1997 ◽  
Author(s):  
Zhongjun Wang ◽  
Zhidai He ◽  
C. Lan ◽  
Zhongjun Wang ◽  
Zhidai He ◽  
...  
Keyword(s):  
Nonlinear Analysis ◽  
Stability And Control ◽  
Analysis Of Stability ◽  
And Control

Designing Stability and Control Augmentation Systems Using Genetic Algorithms

2009 ◽  
Author(s):  
Ashraf Omran ◽  
Mohamed Elshabasy ◽  
Wael Mokhtar ◽  
Brett Newman ◽  
Mohamed Gharib
Keyword(s):  
Genetic Algorithms ◽  
Stability And Control ◽  
And Control

scholarly journals Method for designing multi-input system identification signals using a compact time-frequency representation

2021 ◽  
Author(s):  
Mathias Stefan Roeser ◽  
Nicolas Fezans
Keyword(s):  
System Identification ◽  
Design Method ◽  
Flight Test ◽  
Compact Representation ◽  
Time Frequency ◽  
Stability And Control ◽  
Frequency Representation ◽  
Aerodynamic Parameters ◽  
Definition Of ◽  
And Control

AbstractA flight test campaign for system identification is a costly and time-consuming task. Models derived from wind tunnel experiments and CFD calculations must be validated and/or updated with flight data to match the real aircraft stability and control characteristics. Classical maneuvers for system identification are mostly one-surface-at-a-time inputs and need to be performed several times at each flight condition. Various methods for defining very rich multi-axis maneuvers, for instance based on multisine/sum of sines signals, already exist. A new design method based on the wavelet transform allowing the definition of multi-axis inputs in the time-frequency domain has been developed. The compact representation chosen allows the user to define fairly complex maneuvers with very few parameters. This method is demonstrated using simulated flight test data from a high-quality Airbus A320 dynamic model. System identification is then performed with this data, and the results show that aerodynamic parameters can still be accurately estimated from these fairly simple multi-axis maneuvers.

On Time-Synchronized Stability and Control

2021 ◽  
pp. 1-14
Author(s):  
Dongyu Li ◽  
Haoyong Yu ◽  
Keng Peng Tee ◽  
Yan Wu ◽  
Shuzhi Sam Ge ◽  
...  
Keyword(s):  
Stability And Control ◽  
And Control

scholarly journals Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Low Carbon ◽  
Carbon Neutrality ◽  
Stability And Control ◽  
Wind Power Integration ◽  
And Control

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]

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