Flow control with active dimples

2007 ◽  
Vol 111 (1125) ◽  
pp. 705-714 ◽  
Author(s):  
S. Dearing ◽  
S. Lambert ◽  
J. Morrison

Abstract The long-term goal is to design and manufacture optimal ‘on-demand’ vortex generators, ‘dimples’ that can produce vortices of prescribed strength and duration for the real-time control of aerodynamic flows that are either undergoing transition or are fully turbulent, attached or separating. Electro-active polymers (EAP) are ideal for a dimple control surface, offering high strain rate, fast response, and high electromechanical efficiency. EAP can also be used as the basis of a resistanc – or capacitance – change pressure sensor, development of which has just begun. In terms of manufacture, inkjet printing of EAP also offers a paradigm shift such that a monolithic control surface is a very real possibility. Important features for integration into a control system are robustness and a predictable, repeatable motion. With these objectives in mind, the suitability of EAP-based actuators is assessed both mechanically and aerodynamically. The ultimate goal is to integrate these devices, along with shear-stress and pressure sensors and distributed control, also under development, into a flexible ‘smart skin’ which could be incorporated into an airframe structure. The response of a laminar boundary layer to forcing is investiagted using mechanical dimples.

2016 ◽  
Vol 138 (5) ◽  
Author(s):  
Lu Cao ◽  
Hengnian Li

A new set of linearized differential equations governing relative motion of inner-formation satellite system (IFSS) is derived with the effects of J2 as well as atmospheric drag. The IFSS consists of the “inner satellite” and the “outer satellite,” this special configuration formation endows its some advantages to map the gravity field of earth. For long-term IFSS in elliptical orbit, the high-fidelity set of linearized equations is more convenient than the nonlinear equations for designing formation control system or navigation algorithms. In addition, to avoid the collision between the inner satellite and the outer satellite, the minimum sliding mode error feedback control (MSMEFC) is adopted to perform a real-time control on the outer satellite in the presence of uncertain perturbations from the system and space. The robustness and steady-state error of MSMEFC are also discussed to show its theoretical advantages than traditional sliding mode control (SMC). Finally, numerical simulations are performed to check the fidelity of the proposed equations. Moreover, the efficacy of the MSMEFC is performed to control the IFSS with high precision.


2021 ◽  
Vol 20 ◽  
pp. 199-206
Author(s):  
Seda Postalcioglu

This study focused on the classification of EEG signal. The study aims to make a classification with fast response and high-performance rate. Thus, it could be possible for real-time control applications as Brain-Computer Interface (BCI) systems. The feature vector is created by Wavelet transform and statistical calculations. It is trained and tested with a neural network. The db4 wavelet is used in the study. Pwelch, skewness, kurtosis, band power, median, standard deviation, min, max, energy, entropy are used to make the wavelet coefficients meaningful. The performance is achieved as 99.414% with the running time of 0.0209 seconds


2013 ◽  
Vol 432 ◽  
pp. 447-452
Author(s):  
Rong Li ◽  
Zhe Ming Duan ◽  
Wei Zhou ◽  
Bing Chao Dong

Temperature control is the key problem in the design and manufacture of electric blankets. In order to solve current technological failure to real-time control of the temperature of electric blanket, this paper applies technical means of DS18B20 temperature acquisition and relay control temperature heating, together with key circuit, display circuit as well as other auxiliary circuit, and the system achieved electric blanket working temperature real-time intelligent control. Relay output controlled the temperature closed loop control by single-chip microcomputer, and a new type of intelligent temperature control technology of electric blanket is developed, real-time temperature control is enhanced, which improved the security and energy conservation of electric blanket.


1996 ◽  
Vol 118 (3) ◽  
pp. 445-448
Author(s):  
Musa Jouaneh ◽  
Sabbir Rangwala

This paper investigates a method to compensate for thermal distortions which occur during pulsed laser welding of optical packages. A control strategy, based on the use of a fast response piezo-actuator to maintain relative alignment between the fiber and the laser in the critical time period after application of the laser pulse and before cooling of the weld nugget is described.


2013 ◽  
Vol 313-314 ◽  
pp. 395-398
Author(s):  
De Qiang Zhang ◽  
Li Ying Su ◽  
Duo Xing Zhao

Based on S7-200 PLC, pressure sensors and amplifiers, this paper uses PID instruction to establish the closed-loop pressure control system of the required thrust in turning airbags. So in the automatic overturning airbags, it is capable to real-time control the push rods running status.


2020 ◽  
Vol 17 (5) ◽  
pp. 467-480
Author(s):  
Zoë K. Schmitt ◽  
Clayton C. Hodges ◽  
Randel L. Dymond

Author(s):  
Aaron Akin ◽  
Jon Hathaway ◽  
Anahita Khojandi

Dry extended detention basins are static stormwater infrastructure, unable to adapt to shifts in water quality caused by urbanization in their source watersheds or long-term changes in rainfall patterns. As...


Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 135
Author(s):  
Luca Salvati ◽  
Matteo d’Amore ◽  
Anita Fiorentino ◽  
Arcangelo Pellegrino ◽  
Pasquale Sena ◽  
...  

Background: The detection of driver fatigue as a cause of sleepiness is a key technology capable of preventing fatal accidents. This research uses a fatigue-related sleepiness detection algorithm based on the analysis of the pulse rate variability generated by the heartbeat and validates the proposed method by comparing it with an objective indicator of sleepiness (PERCLOS). Methods: changes in alert conditions affect the autonomic nervous system (ANS) and therefore heart rate variability (HRV), modulated in the form of a wave and monitored to detect long-term changes in the driver’s condition using real-time control. Results: the performance of the algorithm was evaluated through an experiment carried out in a road vehicle. In this experiment, data was recorded by three participants during different driving sessions and their conditions of fatigue and sleepiness were documented on both a subjective and objective basis. The validation of the results through PERCLOS showed a 63% adherence to the experimental findings. Conclusions: the present study confirms the possibility of continuously monitoring the driver’s status through the detection of the activation/deactivation states of the ANS based on HRV. The proposed method can help prevent accidents caused by drowsiness while driving.


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