This paper is published in Volume 4, Issue 3, 2019
Area
Controller
Author
Ajeeth Balaji P. S.
Co-authors
P. Preethi, S. Kavya Priya, Mathumitha
Org/Univ
Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
Keywords
Proportional-Integral-Derivative (PID) controller, Fuzzy controller, LabView
Citations
IEEE
Ajeeth Balaji P. S., P. Preethi, S. Kavya Priya, Mathumitha. Implementation of fuzzy and PID Controller to water level system using LabVIEW, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Ajeeth Balaji P. S., P. Preethi, S. Kavya Priya, Mathumitha (2019). Implementation of fuzzy and PID Controller to water level system using LabVIEW. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARnD.com.
MLA
Ajeeth Balaji P. S., P. Preethi, S. Kavya Priya, Mathumitha. "Implementation of fuzzy and PID Controller to water level system using LabVIEW." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2019). www.IJARnD.com.
Ajeeth Balaji P. S., P. Preethi, S. Kavya Priya, Mathumitha. Implementation of fuzzy and PID Controller to water level system using LabVIEW, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Ajeeth Balaji P. S., P. Preethi, S. Kavya Priya, Mathumitha (2019). Implementation of fuzzy and PID Controller to water level system using LabVIEW. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARnD.com.
MLA
Ajeeth Balaji P. S., P. Preethi, S. Kavya Priya, Mathumitha. "Implementation of fuzzy and PID Controller to water level system using LabVIEW." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2019). www.IJARnD.com.
Abstract
The paper is about the water level control system which is required in many industrial processes like water treatment plant, the idea of the process is to keep the tank water level at the desired set point. First, we implemented the conventional Proportional – Integral Derivative (PID) controller to eliminate the steady state error, then it was used Fuzzy logic controllers which gives more performance and stability. It is noted from the results that the Fuzzy Logic controller is more enhanced than PID controller in which its no overshoot, faster settling time, better-set point tracking and produced lower performances like Integral of Time and Absolute Error (ITAE) integral of Time and Squared Error (ITSE), and Integral Absolute Error (IAE), Integral Squared Error (ISE). Both PID and fuzzy controller are implemented using LabView software