TY - GEN
T1 - Network-Based Control with State Prediction for Time-Delayed System
AU - Kobayashi, Koji
AU - Minohara, Akira
AU - Uchimura, Yutaka
N1 - Funding Information:
This research is supported by the Space Exploration Innovation Hub Center of Japan Aerospace Exploration Agency, JAXA, whose activity is selected for the support program for starting up innovation hub sponsored by the Japan Science and Technology Agency (JST).
Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/8/10
Y1 - 2018/8/10
N2 - This paper proposes and describes a control method that compensates time delay in a system by predicting the future states of a plant. The proposed method contains a state predictor of future values of the system. Furthermore, the method considers uncertainty in the model in terms of modeling errors, which might cause the predicted value to degrade the performance of the system or even destabilize it. The disturbance in a remote plant is explicitly considered and is compensated for by placing a feedback controller on the remote side. This paper describes the proposed control method based on model-based predictive control that considers modeling error. The stability of the proposed system is analyzed, and the performance of the method is evaluated through a comparison with conventional methods using numerical simulation and experimental results.
AB - This paper proposes and describes a control method that compensates time delay in a system by predicting the future states of a plant. The proposed method contains a state predictor of future values of the system. Furthermore, the method considers uncertainty in the model in terms of modeling errors, which might cause the predicted value to degrade the performance of the system or even destabilize it. The disturbance in a remote plant is explicitly considered and is compensated for by placing a feedback controller on the remote side. This paper describes the proposed control method based on model-based predictive control that considers modeling error. The stability of the proposed system is analyzed, and the performance of the method is evaluated through a comparison with conventional methods using numerical simulation and experimental results.
UR - http://www.scopus.com/inward/record.url?scp=85052399198&partnerID=8YFLogxK
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U2 - 10.1109/ISIE.2018.8433830
DO - 10.1109/ISIE.2018.8433830
M3 - Conference contribution
AN - SCOPUS:85052399198
SN - 9781538637050
T3 - IEEE International Symposium on Industrial Electronics
SP - 982
EP - 987
BT - Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Symposium on Industrial Electronics, ISIE 2018
Y2 - 13 June 2018 through 15 June 2018
ER -