TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 25727621
Y1  - 2020///
VL  - 2020-D
A1  - Devan, P.A.M.
A1  - Hussin, F.A.
A1  - Ibrahim, R.
A1  - Bingi, K.
A1  - Abdulrab, H.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102028407&doi=10.1109%2fR10-HTC49770.2020.9357000&partnerID=40&md5=d2b77274adf9191d64d04dc81fbcabc0
AV  - none
TI  - Fractional-order Predictive PI Controller for Process Plants with Deadtime
ID  - scholars12375
KW  - Controllers; Frequency domain analysis; Three term control systems
KW  -  Closed-loop performance; Dead time process; Fractional order; Fractional-order controllers; Frequency-domain representations; Industrial processs; Regulatory process; Time delay compensation
KW  -  Process control
N2  - Predictive PI controllers have been widely used for industrial process plants with deadtime. This is due to its advantages of simple design, easy tuning, and implementation. However, this smith predictor based structure failed to achieve adequate performance in the presence of high disturbances and variation in set-point. Therefore, in this research, fractional-order predictive PI controller has been proposed for deadtime processes. The controller is based on the predictive nature of Smith Predictor and robustness nature of fractional-order controller. The proposed approach consistently manages to give a better closed-loop performance for both servo and regulatory process operations. Various real-time industrial process plant models are simulated with longer dead-time to evaluate the controller flexibility, effectiveness of handling disturbance, and time-delay compensation capabilities. Tuning rules for the proposed controller has derived analytically by using first-order plus deadtime (FOPDT) process model in frequency domain representation. © 2020 IEEE.
N1  - cited By 6; Conference of 8th IEEE R10 Humanitarian Technology Conference, R10-HTC 2020 ; Conference Date: 1 December 2020 Through 3 December 2020; Conference Code:167396
ER  -