Title :
An AI Based Controller for Temperature Control for a Hot Embossing System
Author :
Deodhar, Akash ; Shiakolas, Panos S. ; Belligundu, Sunil
Author_Institution :
Mech. & Aerosp. Eng., Texas Univ., Arlington, TX
Abstract :
The hot embossing microreplication microfabrication, HEMM, systems are gaining popularity in the MEMS and more specifically the BioMEMS area due to their capability to quickly and inexpensively replicate microstructures on various types of polymers or used for thermal bonding of BioMEMS substrates. Control issues associated with a HEMM system include temperature, heat and force control for process control. This manuscript discussed the procedure for the development of an artificial intelligence based controller using neural networks and fuzzy logic with application to the heating and temperature control of a HEMM system. Subsequently, the controller development in LabVIEW and MATLAB, and its implementation and performance verification on a testbed is presented
Keywords :
artificial intelligence; control engineering computing; embossing; micromechanical devices; process control; production engineering computing; temperature control; MEMS; artificial intelligence; fuzzy logic; hot embossing system; microreplication microfabrication; microstructures replication; neural networks; temperature control; thermal bonding; Artificial intelligence; Bonding; Control systems; Embossing; Force control; Micromechanical devices; Microstructure; Polymers; Process control; Temperature control;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467001
