TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9798350334548
Y1  - 2022///
EP  - 26
A1  - Sanjeevi Gandhi, A.
A1  - Porkumaran, K.
A1  - Jeeva, C.
A1  - Kothai, R.
A1  - Kannan, R.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149137817&doi=10.1109%2fICFTSC57269.2022.10040027&partnerID=40&md5=575d34497c877c1ff2df6f80183512b8
AV  - none
ID  - scholars17244
SP  - 23
TI  - Design and Development of An Estimate Controller for a Fusion Tank System
KW  - Controllers; MATLAB; Proportional control systems; Tanks (containers); Three term control systems; Two term control systems
KW  -  Coupled tank; Coupled tank system; Design and Development; Interactive control; Model-reference adaptive controls; Non linear; Proportional-integral-derivative controller.; Proportional-integral-derivatives controllers; Tank system; Theoretical modeling
KW  -  Model reference adaptive control
N1  - cited By 0; Conference of 2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:186671
N2  - This study discusses the fusion tank system as a result of the usual non-linear and linear mathematical models' theoretical modeling. It is an illustration of an interactive control system, and also its non-linear and coupling properties are employed to examine various control strategies for complex systems. A modified model reference adaptive control (MRAC) is also suggested for the hybrid tank system to verify its effectiveness and steady-state performance. The Model Reference Adaptive Regulation (MRAC) is used to maintain fluid levels in the double tanks at the desired standards in a smooth manner. Through simulation, the performance of the MMRAC controller is connected to other control methods. MATLAB Simulink is used to simulate MRAC and Modify MRAC's responses. The simulation results are utilized to validate the system's findings. © 2022 IEEE.
ER  -