TY - GEN
T1 - High Performance Tracking Optimal Linear Matrix Inequality-Fractional-order PI for MIMO Processes
AU - Devan, P. Arun Mozhi
AU - Nagarajapandian, M.
AU - Anitha, T.
AU - Assaad, Maher
AU - Hussin, Fawnizu Azmadi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The simple design, tuning, and quick implementation of the PI family of controllers influence single-input, single-output (SISO) process control applications. However, with the industrial revolution, many industrial processes are now designed as multiple-input multi-output (MIMO) systems. The conventional controllers in this process produce suboptimal performance due to the system's non-linear, interacting, and dynamic nature. A linear matrix inequality-based fractional-order PI (LMIFPI) controller is proposed to address and overcome the quadruple-tank system's (QTS) interaction behaviour. In addition, the simulated annealing (SA) optimization algorithm is employed to determine the controller parameters using the integral square error (ISE) as the desired objective function. Experimental results indicate that the proposed controller achieved an almost 33.1652% faster settling time, a 7.651% reduction in overshoot, and a nearly 1.7% quicker rise time performance.
AB - The simple design, tuning, and quick implementation of the PI family of controllers influence single-input, single-output (SISO) process control applications. However, with the industrial revolution, many industrial processes are now designed as multiple-input multi-output (MIMO) systems. The conventional controllers in this process produce suboptimal performance due to the system's non-linear, interacting, and dynamic nature. A linear matrix inequality-based fractional-order PI (LMIFPI) controller is proposed to address and overcome the quadruple-tank system's (QTS) interaction behaviour. In addition, the simulated annealing (SA) optimization algorithm is employed to determine the controller parameters using the integral square error (ISE) as the desired objective function. Experimental results indicate that the proposed controller achieved an almost 33.1652% faster settling time, a 7.651% reduction in overshoot, and a nearly 1.7% quicker rise time performance.
KW - Fractional-order PI
KW - MIMO process
KW - linear matrix inequalities
KW - multivariable process
KW - quadruple-tank system
UR - https://www.scopus.com/pages/publications/85215680581
U2 - 10.1109/ICIESTR60916.2024.10798150
DO - 10.1109/ICIESTR60916.2024.10798150
M3 - Conference contribution
AN - SCOPUS:85215680581
T3 - 1st International Conference on Innovative Engineering Sciences and Technological Research, ICIESTR 2024 - Proceedings
BT - 1st International Conference on Innovative Engineering Sciences and Technological Research, ICIESTR 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Innovative Engineering Sciences and Technological Research, ICIESTR 2024
Y2 - 14 May 2024 through 15 May 2024
ER -