Design and Implementation of Adaptive PID and Adaptive Fuzzy Controllers for a Level Process Station
Design and Implementation of Adaptive PID and Adaptive Fuzzy Controllers for a Level Process Station
- Neue Suche nach: Venkataraman, Aparna
- Neue Suche nach: Venkataraman, Aparna
This proposed work proposes the design and real-time implementation of an adaptive fuzzy logic controller (FLC) and a proportional-integral-derivative (PID) controller for adaptive gain scheduling that can be configured for any complex industrial nonlinear application. Initially, the open-loop test of the single-input single-output (SISO) system, with nonlinearities and disturbances, is conducted to represent the mathematical model of the process around a set of equilibrium points. The adaptive controllers are then developed and deployed by using the national instruments reconfigurable input/output data acquisition device (NI RIO), NI myRIO-1900, and the control parameters are adapted in real-time corresponding to the changes in the process variable. The resulting servo and regulatory performance of the controllers are compared in MATLAB® software. The adaptive fuzzy controller is deduced to be the better controller as it can generate the desired output with quicker settling times, fewer oscillations, and negligible overshoot.
Dokumentinformationen
Design and Implementation of Adaptive PID and Adaptive Fuzzy Controllers for a Level Process Station
2021-04-01
doi:10.46604/aiti.2021.6047
Advances in Technology Innovation; Vol 6 No 2 (2021): April; 90-105 ; 2518-2994 ; 2415-0436
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| DDC: | 629 |
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