TY - JOUR
T1 - Energy saving control approach for trajectory tracking of autonomous mobile robots
AU - Chen, Yung Hsiang
AU - Chen, Yung Yue
AU - Lou, Shi Jer
AU - Huang, Chiou Jye
N1 - Funding Information:
Funding Statement: This research was funded by the MOST (Ministry of Science and Technology of Taiwan, project number is MOST 109-2221-E-020-017 -.
Publisher Copyright:
© 2022, Tech Science Press. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This research presents an adaptive energy-saving H2 closed-form control approach to solve the nonlinear trajectory tracking problem of autonomous mobile robots (AMRs). The main contributions of this proposed design are as fol-lows: closed-form approach, simple structure of the control law, easy implemen-tation, and energy savings through trajectory tracking design of the controlled AMRs. It is difficult to mathematically obtained this adaptive H2 closed-form solution of AMRs. Therefore, through a series of mathematical analyses of the trajectory tracking error dynamics of the controlled AMRs, the trajectory tracking problem of AMRs can be transformed directly into a solvable problem, and an adaptive nonlinear optimal controller, which has an extremely simple form and energy-saving properties, can be found. Finally, two test trajectories, namely cir-cular and S-shaped reference trajectories, are adopted to verify the control performance of the proposed adaptive H2 closed-form control approach with respect to an investigated H2 closed-form control design.
AB - This research presents an adaptive energy-saving H2 closed-form control approach to solve the nonlinear trajectory tracking problem of autonomous mobile robots (AMRs). The main contributions of this proposed design are as fol-lows: closed-form approach, simple structure of the control law, easy implemen-tation, and energy savings through trajectory tracking design of the controlled AMRs. It is difficult to mathematically obtained this adaptive H2 closed-form solution of AMRs. Therefore, through a series of mathematical analyses of the trajectory tracking error dynamics of the controlled AMRs, the trajectory tracking problem of AMRs can be transformed directly into a solvable problem, and an adaptive nonlinear optimal controller, which has an extremely simple form and energy-saving properties, can be found. Finally, two test trajectories, namely cir-cular and S-shaped reference trajectories, are adopted to verify the control performance of the proposed adaptive H2 closed-form control approach with respect to an investigated H2 closed-form control design.
UR - http://www.scopus.com/inward/record.url?scp=85115910491&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115910491&partnerID=8YFLogxK
U2 - 10.32604/IASC.2022.018663
DO - 10.32604/IASC.2022.018663
M3 - Article
AN - SCOPUS:85115910491
SN - 1079-8587
VL - 31
SP - 357
EP - 372
JO - Intelligent Automation and Soft Computing
JF - Intelligent Automation and Soft Computing
IS - 1
ER -