P. Karimi and A. H. Khedmati Bazkiaei
Active Control Improvement of Smart Cantilever Beam by Piezoelectric Materials and OnLine Differential Artificial Neural Networks
1066 - 1072
2018
12
12
International Journal of Aerospace and Mechanical Engineering
https://publications.waset.org/pdf/10009845
https://publications.waset.org/vol/144
World Academy of Science, Engineering and Technology
The main goal of this study is to test differential
neural network as a controller of smart structure and is to enumerate
its advantages and disadvantages in comparison with other
controllers. In this study, the smart structure has been considered as a
Euler Bernoulli cantilever beam and it has been tried that it be under
control with the use of vibration neural network resulting from
movement. Also, a linear observer has been considered as a reference
controller and has been compared its results. The considered
vibration charts and the controlled state have been recounted in the
final part of this text. The obtained result show that neural observer
has better performance in comparison to the implemented linear
observer.
Open Science Index 144, 2018