TY - GEN
T1 - Model based predictive control for networked control system with time delay
AU - Kobayashi, Koji
AU - Noritzuki, Hiromu
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:
© 2017 IEEE.
PY - 2017/12/15
Y1 - 2017/12/15
N2 - This paper proposes a control method that compensates for a system with time delay by predicting the future states of the plant. The proposed method contains a state predictor that predicts the future values of a system. Furthermore, the proposed method also considers the uncertainty of the model in terms of the modeling error, which might cause the predicted value to degrade the performance of the system or even destabilize it in the worst case. The disturbance in the remote plant is explicitly considered and is compensated for by locating a feedback controller in the remote side. This paper described the proposed control method based on model-based predictive control that considers modeling error. The stability of the proposed system is analyzed, and performance of the method is evaluated in comparison with conventional methods using numerical simulation results.
AB - This paper proposes a control method that compensates for a system with time delay by predicting the future states of the plant. The proposed method contains a state predictor that predicts the future values of a system. Furthermore, the proposed method also considers the uncertainty of the model in terms of the modeling error, which might cause the predicted value to degrade the performance of the system or even destabilize it in the worst case. The disturbance in the remote plant is explicitly considered and is compensated for by locating a feedback controller in the remote side. This paper described the proposed control method based on model-based predictive control that considers modeling error. The stability of the proposed system is analyzed, and performance of the method is evaluated in comparison with conventional methods using numerical simulation results.
UR - http://www.scopus.com/inward/record.url?scp=85046627078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046627078&partnerID=8YFLogxK
U2 - 10.1109/IECON.2017.8216976
DO - 10.1109/IECON.2017.8216976
M3 - Conference contribution
AN - SCOPUS:85046627078
T3 - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
SP - 5633
EP - 5638
BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Y2 - 29 October 2017 through 1 November 2017
ER -