TY - JOUR
T1 - Robust Digital-Redesign Tracking control for Uncertain Systems
T2 - PID sliding mode Control and PSO Algorithm
AU - Yan, Jun Juh
AU - Fang, Jiunn Shiou
AU - Tsai, Jason Sheng Hong
AU - Huang, Chiao Hsin
AU - Guo, Shu Mei
N1 - Funding Information:
Funding: This work was financially supported by the Ministry of Science and Technology, Taiwan, under grant MOST-110-2221-E-167 -030 and MOST-110-2218-E-006 -014 -MBK.
Publisher Copyright:
© 2021, Taiwan Ubiquitous Information CO LTD. All rights reserved.
PY - 2021/11
Y1 - 2021/11
N2 - A digital-redesigned robust tracker for sampled-data systems with bounded nonlinear disturbances is newly proposed based on an integration of the proportional-integral-derivative (PID) control, sliding mode control (SMC) and particle swarm optimization (PSO) algorithm. First, a new control method integrating the PID control, SMC and PSO algorithm for continuous-time systems with bounded nonlinear disturbances is newly proposed. Then, the newly developed digital-redesigned robust tracker for the sampled-data systems with disturbances is proposed. Except for the well-known superiorities of the PID controller, the integrated SMC is applied to suppress the unknown matched nonlinear disturbances. Finally, the PSO algorithm is utilized to optimally tune control parameters, such that the proposed approach achieves a satisfactory performance for the robust tracking control.
AB - A digital-redesigned robust tracker for sampled-data systems with bounded nonlinear disturbances is newly proposed based on an integration of the proportional-integral-derivative (PID) control, sliding mode control (SMC) and particle swarm optimization (PSO) algorithm. First, a new control method integrating the PID control, SMC and PSO algorithm for continuous-time systems with bounded nonlinear disturbances is newly proposed. Then, the newly developed digital-redesigned robust tracker for the sampled-data systems with disturbances is proposed. Except for the well-known superiorities of the PID controller, the integrated SMC is applied to suppress the unknown matched nonlinear disturbances. Finally, the PSO algorithm is utilized to optimally tune control parameters, such that the proposed approach achieves a satisfactory performance for the robust tracking control.
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M3 - Article
AN - SCOPUS:85122983393
SN - 2414-8105
VL - 6
SP - 668
EP - 687
JO - Journal of Network Intelligence
JF - Journal of Network Intelligence
IS - 4
ER -