Integrated Toolkit for Closed-Loop Flow Control: Flow Simulation, Reduced-Order Modeling, and Control Design (Invited)

2008 ◽  
Author(s):  
Tim Colonius ◽  
Kunihiko Taira ◽  
Won Joe ◽  
Clancy Rowley ◽  
Sunil Ahuja
Keyword(s):  
Flow Control ◽  
Closed Loop ◽  
Control Design ◽  
Flow Simulation ◽  
Reduced Order Modeling ◽  
Control Flow ◽  
Modeling And Control ◽  
Reduced Order ◽  
And Control

scholarly journals Reduced Order Modeling and Control of Thin Film Growth in an HPCVD Reactor

2002 ◽  
Vol 62 (4) ◽  
pp. 1251-1280 ◽  
Author(s):  
G. M. Kepler ◽  
H. T. Banks ◽  
H. T. Tran ◽  
S. C. Beeler
Keyword(s):  
Thin Film ◽  
Film Growth ◽  
Reduced Order Modeling ◽  
Thin Film Growth ◽  
Modeling And Control ◽  
Reduced Order ◽  
And Control

Reduced Order Modeling and Control of an Electrohydraulic Valve System

2004 ◽  
Vol 37 (22) ◽  
pp. 167-172 ◽  
Author(s):  
Jean-Pierre Hathout ◽  
Jasim Ahmed ◽  
Aleksandar Kojić
Keyword(s):  
Reduced Order Modeling ◽  
Modeling And Control ◽  
Reduced Order ◽  
Valve System ◽  
Electrohydraulic Valve ◽  
And Control

Lagrangian D’Alembert Modeled Maneuverable Autonomous Non-Holonomic Mobile Robot Using a Closed Loop PD Controller

2009 ◽  
Author(s):  
E. Georgiou ◽  
J. Dai
Keyword(s):  
Mobile Robot ◽  
Closed Loop ◽  
Ad Hoc ◽  
Search And Rescue ◽  
Pd Controller ◽  
Modeling And Control ◽  
Holonomic Constraints ◽  
And Control ◽  
Holonomic Mobile Robot ◽  
Initial Results

The motivation for this work is to develop a platform for a self-localization device. Such a platform has many applications for the autonomous maneuverable non-holonomic mobile robot classification, which can be used for search and rescue or for inspection devices where the robot has a desired path to follow but because of an unknown terrain, the device requires the ability to make ad-hoc corrections to its movement to reach its desire path. The mobile robot is modeled using Lagrangian d’Alembert’s principle considering all the possible inertias and forces generated, and are controlled by restraining movement based on the holonomic and non-holonomic constraints of the modeled vehicle. The device is controlled by a PD controller based on the vehicle’s holonomic and non-holonomic constraints. An experiment was setup to verify the modeling and control structure’s functionality and the initial results are promising.

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