Inicio  /  Algorithms  /  Vol: 17 Par: 2 (2024)  /  Artículo
ARTÍCULO
TITULO

µ-Analysis and µ-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control

Amalia Moutsopoulou    
Markos Petousis    
Georgios E. Stavroulakis    
Anastasios Pouliezos and Nectarios Vidakis    

Resumen

In this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using µ-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, leading to the creation of an improved uncertain plant. A powerful controller was built using a larger plant that included the nominal model and corresponding uncertainty. The designed controllers demonstrated robust and nominal performance when handling agitated plants. A comparison of the results was conducted. As an example of a general smart structure, the vibration of a collocated piezoelectric actuator and sensor was controlled using two different approaches with strong controller designs. This study presents a comprehensive simulation of the oscillation suppression problem for smart beams. They provide an analytical demonstration of how uncertainty is introduced into the model. The desired outcomes were achieved by utilizing Simulink and MATLAB (v. 8.0) programming tools.

 Artículos similares

       
 
Hamed Raoofi, Asa Sabahnia, Daniel Barbeau and Ali Motamedi    
Traditional methods of supervision in the construction industry are time-consuming and costly, requiring significant investments in skilled labor. However, with advancements in artificial intelligence, computer vision, and deep learning, these methods ca... ver más

 
Andrea D?Ambrosio and Roberto Furfaro    
This paper demonstrates the utilization of Pontryagin Neural Networks (PoNNs) to acquire control strategies for achieving fuel-optimal trajectories. PoNNs, a subtype of Physics-Informed Neural Networks (PINNs), are tailored for solving optimal control pr... ver más
Revista: Aerospace

 
Changkun Yu, Zhigang Wu and Chao Yang    
Slender vehicles often encounter significant aeroservoelastic challenges due to their low elastic mode frequencies and wide servo control system bandwidths. Traditional analysis methods have limitations, including low modeling accuracy for real vehicles ... ver más
Revista: Aerospace

 
Oksana Kharchenko, Zlatinka Kovacheva and Velin Andonov    
Ensuring noise immunity is one of the main tasks of radio engineering and telecommunication. The main task of signal receiving comes down to the best recovery of useful information from a signal that is destructed during propagation and received together... ver más
Revista: Applied Sciences

 
Yawei Ning, Minglei Ren, Shuai Guo, Guohua Liang, Bin He, Xiaoyang Liu and Rong Tang    
Multi-objective reservoir operation of reservoir flood control involves numerous factors and complex model solving, and exploring effective methods for solving the operation models has always been a hot topic in reservoir optimization operation research.... ver más
Revista: Water