Using NTH Dimensional Fuzzy Logic for Complexity Analysis, Decision Analysis and Autonomous Control Systems

2007 ◽  
pp. 391-398
Author(s):  
Nolan OAM JP Tony ◽  
Emily Baker
Keyword(s):  
Fuzzy Logic ◽  
Decision Analysis ◽  
Control Systems ◽  
Complexity Analysis ◽  
Autonomous Control

scholarly journals Representation of infinite-dimensional neutral non-autonomous control systems

2006 ◽  
Vol 323 (1) ◽  
pp. 497-512 ◽  
Author(s):  
Abdelhadi Elharfi ◽  
Hamid Bounit ◽  
Said Hadd
Keyword(s):  
Control Systems ◽  
Autonomous Control ◽  
Infinite Dimensional

A Control Strategy for Intelligent Stamp Forming Tooling

2011 ◽  
Vol 133 (6) ◽  
Author(s):  
William J. Emblom ◽  
Klaus J. Weinmann
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Control Strategy ◽  
Pid Controller ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Linear Quadratic ◽  
Blank Holder ◽  
Loop Control ◽  
Stamp Forming

This paper describes the development and implementation of closed-loop control for oval stamp forming tooling using MATLAB®’s SIMULINK® and the dSPACE®CONTROLDESK®. A traditional PID controller was used for the blank holder pressure and an advanced controller utilizing fuzzy logic combining a linear quadratic gauss controller and a bang–bang controller was used to control draw bead position. The draw beads were used to control local forces near the draw beads. The blank holder pressures were used to control both wrinkling and local forces during forming. It was shown that a complex, advanced controller could be modeled using MATLAB’s SIMULINK and implemented in DSPACE CONTROLDESK. The resulting control systems for blank holder pressures and draw beads were used to control simultaneously local punch forces and wrinkling during the forming operation thereby resulting in a complex control strategy that could be used to improve the robustness of the stamp forming processes.

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