Comparison of Control Systems Based on PID Controllers and Based on Fuzzy Logic Using MatLab and Simulink

Author(s):  
Sergey Adadurov ◽  
Anatoly Khomonenko ◽  
Alexander Krasnovidov
Author(s):  
Claudio Urrea ◽  
Luis Valenzuela

The results and comparison of controller performance based on fuzzy logic and neural networks with the purpose of improving the performance of PID controllers currently used in servomotors is presented. The performance comparisons will be made with no load and with load (consisting of a robotic type rotational link). The results show that as the number of links in a robot increases, the precision of the movements desired from it decreases, affecting the tasks that require a high degree of precision, so the design of controllers like those presented in this chapter is required. This work is the basis for implementing improvements in the performance of DC servomotor control systems in general.


Author(s):  
William J. Emblom ◽  
Klaus J. Weinmann

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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