A self-tuning regulator for vibration control

2002 ◽  
Author(s):  
B.F. La Scala ◽  
R.R. Bitmead
Keyword(s):  
Vibration Control ◽  
Self Tuning

Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller

2014 ◽  
Vol 333 (21) ◽  
pp. 5244-5268 ◽  
Author(s):  
Nemanja D. Zorić ◽  
Aleksandar M. Simonović ◽  
Zoran S. Mitrović ◽  
Slobodan N. Stupar ◽  
Aleksandar M. Obradović ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Free Vibration ◽  
Vibration Control ◽  
Fuzzy Logic Controller ◽  
Particle Swarm ◽  
Composite Beams ◽  
Smart Composite ◽  
Self Tuning

scholarly journals Self-Tuning Vibration Control of a Rotational Flexible Timoshenko Arm Using Neural Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Minoru Sasaki ◽  
Toshimi Shimizu ◽  
Yoshihiro Inoue ◽  
Wayne J. Book
Keyword(s):  
Neural Networks ◽  
Control System ◽  
Vibration Control ◽  
Direct Method ◽  
Rate Of Change ◽  
Feedback Controller ◽  
Flexible System ◽  
Flexible Arm ◽  
Self Tuning ◽  
The Neural Networks

A self-tuning vibration control of a rotational flexible arm using neural networks is presented. To the self-tuning control system, the control scheme consists of gain tuning neural networks and a variable-gain feedback controller. The neural networks are trained so as to make the root moment zero. In the process, the neural networks learn the optimal gain of the feedback controller. The feedback controller is designed based on Lyapunov's direct method. The feedback control of the vibration of the flexible system is derived by considering the time rate of change of the total energy of the system. This approach has the advantage over the conventional methods in the respect that it allows one to deal directly with the system's partial differential equations without resorting to approximations. Numerical and experimental results for the vibration control of a rotational flexible arm are discussed. It verifies that the proposed control system is effective at controlling flexible dynamical systems.

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