scholarly journals Minimum cost constrained input-output and control configuration co-design problem: A structural systems approach

Author(s):  
Sergio Pequito ◽  
Soummya Kar ◽  
George J. Pappas
Automatica ◽  
2016 ◽  
Vol 68 ◽  
pp. 384-391 ◽  
Author(s):  
Sérgio Pequito ◽  
Soummya Kar ◽  
A. Pedro Aguiar

1988 ◽  
Vol 3 (2) ◽  
pp. 118-129
Author(s):  
K.K. Gupta

This paper is primarily concerned with the analysis and design of structural systems relating to aeronautical and aerospace engineering. Some numerical formulations are presented that deal with the synthesis of these systems integrating such disciplines as structures, unsteady aero-dynamics and control engineering. A general-purpose finite element computer program developed for associated large-scale computations is also described in some detail. Finally, results of relevant numerical analyses pertaining to some representative aircraft and spacecraft, obtained by utilizing the program, are presented that testify to the efficacy of the currently developed solution procedures.


1990 ◽  
Vol 19 (1-4) ◽  
pp. 72-76
Author(s):  
C. Parks ◽  
J. Subramanian ◽  
S. Srinivas ◽  
A. Waikar ◽  
G. Graves ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4930
Author(s):  
Francisco Elvis Carvalho Souza ◽  
Werbet Silva ◽  
Andrés Ortiz Salazar ◽  
José Paiva ◽  
Diego Moura ◽  
...  

In order to reduce the costs of implementing the radial position control system of a three-phase bearingless machine with split winding, this article proposes a driving method that uses only two phases of the system instead of the three-phase traditional one. It reduces from six to four the number of inverter legs, drivers, sensors, and current controllers necessary to drive and control the system. To justify the proposal, this new power and control configuration was applied to a 250 W machine controlled by a digital signal processor (DSP). The results obtained demonstrated that it is possible to carry out the radial position control through two phases, without loss of performance in relation to the conventional three-phase drive and control system.


2011 ◽  
Vol 403-408 ◽  
pp. 4649-4658 ◽  
Author(s):  
Pouya Ghalei ◽  
Alireza Fatehi ◽  
Mohamadreza Arvan

Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.


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