Comparative Study on Fuzzy Supervision and Gain Scheduling for Nonlinear Level Control System
- https://doi.org/10.2991/aer.k.210810.085How to use a DOI?
- Nonlinear System, Fuzzy Supervision, Gain Scheduling
Nonlinear system is always become interesting topic to be researched. Level system is the one of them. Deadtime, changeable dynamics, etc make the conventional controller like PID have to be improved and optimized to face this system. In this paper, we propose a comparative study about PID control which is optimized using two different methods. First method is PID-fuzzy supervision: the fuzzy is used to supervise the PID parameters based on desired operation points and performance. Second method is PID-gain scheduling: the optimal parameters is mapped in scheduling algorithm for the PID. Both methods is evaluated and compared in terms of transient response transmitter in some set point conditions by MATLAB simulation. The simulation result shown that the PID-fuzzy supervision have a better performance than the PID-gain scheduling. PID-fuzzy supervision give a faster response with 0.9 second of time constant deviation and 0.7 second of settling time deviation against PID-gain scheduling in operation point of 22 percent. Furthermore, this result is also confirmed by the value of ITAE. In same operation point, PID-fuzzy supervision ITAE (249,4779) is smaller than PID-gain scheduling ITAE (307,0614).
- © 2021, the Authors. Published by Atlantis Press.
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- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chalidia Nurin Hamdani AU - Wasis Waskito Adi AU - Dimas Okky Anggriawan PY - 2021 DA - 2021/08/11 TI - Comparative Study on Fuzzy Supervision and Gain Scheduling for Nonlinear Level Control System BT - Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020) PB - Atlantis Press SP - 493 EP - 497 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.210810.085 DO - https://doi.org/10.2991/aer.k.210810.085 ID - Hamdani2021 ER -