Active Wing Load Alleviation with an Adaptive Feed-forward Control Algorithm

2006 ◽  
Author(s):  
Andreas Wildschek ◽  
Rudolf Maier ◽  
Falk Hoffmann ◽  
Matthieu Jeanneau ◽  
Horst Baier
Keyword(s):  
Control Algorithm ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Wing Load

Feed-Forward Control of a Cracked Simply Supported Beam

2011 ◽  
Author(s):  
Sudhir Kaul
Keyword(s):  
Crack Propagation ◽  
Control Algorithm ◽  
Control Algorithms ◽  
Transverse Displacement ◽  
Control Force ◽  
Simply Supported Beam ◽  
Feed Forward ◽  
Simply Supported ◽  
Crack Location ◽  
Feed Forward Control

This paper demonstrates the use of two feed-forward control algorithms in order to mitigate crack propagation in a simply supported beam with a pre-existing crack. The main objective of the control algorithms is to minimize or reduce transverse deflection at the crack location so as to contain the damage resulting from the pre-existing crack and, thereby, reduce the rate of crack propagation. A point-load sinusoidal excitation, from a known disturbance, is used as the input load acting on the beam. Two control algorithms are used — the first control algorithm computes a control force to eliminate transverse displacement at the crack location resulting from the excitation force, and the second control algorithm minimizes the mean square transverse displacement over a section of the beam that contains the crack. Both the control algorithms are a-causal and assume that the excitation input is completely known a-priori. Simulation results for a simply supported beam are presented and discussed in detail. It is observed that the rate of crack propagation can be significantly reduced by implementing the proposed feed-forward control algorithms, increasing the useful life of the damaged beam. Also, it is found that the transverse displacement over a significant length of the beam can be substantially reduced when the beam response is dominated by a specific mode.

scholarly journals Feed-forward control of a building’s heating system

2018 ◽  
Vol 226 ◽  
pp. 04014
Author(s):  
Valery V. Fomin
Keyword(s):  
Air Temperature ◽  
Temperature Rise ◽  
Control Algorithm ◽  
Weather Conditions ◽  
Heating System ◽  
System Control ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Practical Task

In the heating of buildings during positive dynamics of weather conditions a problem is encountered of air temperature rise in the rooms of the building. Solution of the problem given the buildings are equipped with heating system controllers is a practical task using update algorithms in the operation of controllers. The proposed method offers an option of a heating system control algorithm to attain stable temperatures in the rooms of the building.

Trajectory Control of a Tethered Underwater Robot System

2018 ◽  
Author(s):  
Jiaming Wu ◽  
Dongjun Chen ◽  
Ying Xu ◽  
Yuqing Chen ◽  
Lihua Lu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Trajectory Control ◽  
Underwater Robot ◽  
Robot System ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Robot Trajectory ◽  
Umbilical Cable ◽  
And Control

A three-dimensional hydrodynamic and control model to simulate tethered underwater robot system is proposed. The fluid motion around the moving robot main body with running control ducted propellers is governed by Navier-Stokes equations, and multiple sliding mesh technique is applied to solve the governing equations. The governing equation of umbilical cable connected to the robot is based on the Ablow and Schechter method. The six-degrees-of-freedom equations of motion for underwater vehicle simulations proposed by Gertler and Hargen are adopted to estimate the hydrodynamic performance of the underwater robot. In the model, the feed-forward control algorithm is applied to adjust the length of the umbilical cable according to the robot trajectory control target, the incremental PID control algorithm is adopt to regulate the rotating speeds of the ducted propellers producing appropriate thrusts for the robot control. With the proposed hydrodynamic and control model, hydrodynamic behaviors of the robot under definite trajectory control manipulations are observed numerically. The numerical results of robot trajectory control simulations indicate that the feed-forward control algorithm for adjusting the length of the umbilical cable, and the incremental PID control algorithm for regulating the rotating speeds of the propellers are feasible and effective, the adjusting the length of the umbilical cable with feed-forward control technique is largely responsible for the vertical trajectory control to the robot, while regulating the rotating speeds of the propellers by the PID control algorithm play a leading role in the horizontal trajectory manipulation, the deviation between the designated trajectory and the control one at each time step is acceptable.

scholarly journals Model-based feed-forward control for time-varying systems with an example for SRF cavities

2020 ◽  
Vol 53 (2) ◽  
pp. 1331-1336
Author(s):  
Sven Pfeiffer ◽  
Annika Eichler ◽  
Holger Schlarb
Keyword(s):  
Time Varying ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Model Based ◽  
Time Varying Systems ◽  
Srf Cavities

Flatness Feed-Forward Control Model Based on Neural Networks

2014 ◽  
Vol 989-994 ◽  
pp. 3386-3389
Author(s):  
Zhu Wen Yan ◽  
Hen An Bu ◽  
Dian Hua Zhang ◽  
Jie Sun
Keyword(s):  
Neural Networks ◽  
Rolling Mill ◽  
Rolling Force ◽  
Work Roll ◽  
Control Model ◽  
Good Effect ◽  
Feed Forward ◽  
Force Fluctuations ◽  
Feed Forward Control ◽  
Roll Bending

The influence on the shape of the strip from rolling force fluctuations has been analyzed. The combination of intermediate roll bending and work roll bending has been adopted. The principle of rolling force feed-forward control has been analyzed. The feed-forward control model has been established on the basis of neural networks. The model has been successfully applied to a rolling mill and a good effect has been achieved.

scholarly journals Feed-forward control of preshaping in the rat is mediated by the corticospinal tract

2010 ◽  
Vol 32 (10) ◽  
pp. 1678-1685 ◽  
Author(s):  
Jason B. Carmel ◽  
Sangsoo Kim ◽  
Marcel Brus-Ramer ◽  
John H. Martin
Keyword(s):  
Corticospinal Tract ◽  
Feed Forward ◽  
Feed Forward Control
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