TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041420686&doi=10.1109%2fICSIPA.2017.8120622&partnerID=40&md5=f880cc1f9e416fadeaa75a463994db2b
A1  - Hassan, S.M.
A1  - Ibrahim, R.
A1  - Saad, N.
A1  - Asirvadam, V.S.
A1  - Bingi, K.
A1  - Chung, T.D.
EP  - 288
Y1  - 2017///
SN  - 9781509055593
PB  - Institute of Electrical and Electronics Engineers Inc.
N2  - The predictive proportional integral (PPI) controller being simple and non conservative like its Smith predictor and internal model control (IMC) counterparts, has the ability to be employed in environments characterised by uncertainties such as stochastic network delays. However, its performance degrades in the presence of measurement noise. This is due to the prediction involve in the controller which acts like the derivative term of PID controller that amplifies high frequency noise. This necessitated the need for additional filtering of the noisy signals. Therefore, this work proposes three several filter configurations for PPI controller in a wireless environment. Simulation results shows that placing the filter within the PPI controller gives smooth control signal that can yield better control performance compared to both feedback and cascade filter configurations. © 2017 IEEE.
N1  - cited By 3; Conference of 5th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017 ; Conference Date: 12 September 2017 Through 14 September 2017; Conference Code:132915
KW  - Bandpass filters; Image processing; Model predictive control; Passive filters; Proportional control systems; Signal noise measurement; Signal processing; Stochastic models; Stochastic systems; Three term control systems; Two term control systems; Wireless networks
KW  -  Filter; Networked controls; PPI controllers; Signal noise; WirelessHART
KW  -  Controllers
TI  - Signal noise filter structure selection for predictive PI controller in a wireless networked control setting
ID  - scholars9086
SP  - 284
AV  - none
ER  -