Neuro-genetic multi-objective optimization and computer-aided design of pantoprazole molecularly imprinted polypyrrole sensor

2014 ◽  
Vol 202 ◽  
pp. 240-251 ◽  
Author(s):  
Azizollah Nezhadali ◽  
Raham Shadmehri
Author(s):  
Cătălin Alexandru ◽  

In this work, the multi-objective optimization of a dual-axis solar tracker is carried out by using a virtual prototyping software platform that integrates CAD (Computer Aided Design) – CATIA, MBS (Multi-Body Systems) – ADAMS and DFC (Design for Control) – EASY5 computer aided engineering programs. The solar tracking mechanism performs the bi-axial orientation of a PV panel, with the purpose to increase of the amount of incident solar radiation captured by the conversion system, thus improving its energy output. The optimization study aims to determine the optimal arrangement of the linear actuators that control the two degrees of freedom of the system (i.e. the diurnal and elevation movements of the PV panel) and the optimal tuning of their control elements (controllers), so that to minimize the energy consumption for performing the tracking and the tracking errors (relative to the imposed orientation program), while complying with the functional and constructive requirements/constraints coming from the type of actuator used in the application (which is a real/existing one). The tracking mechanism is approached/designed in mechatronic concept (i.e. concurrent engineering), by integrating the mechanical and control subsystems at the virtual prototype level.


2017 ◽  
Vol 1121 ◽  
pp. 29-34 ◽  
Author(s):  
Yi Han ◽  
Lili Gu ◽  
Mengxiao Zhang ◽  
Zhijun Li ◽  
Wanming Yang ◽  
...  

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