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|Title:||Computation delay compensation for real time implementation of robust model predictive control||Authors:||Su, Y.
|Issue Date:||2012||Citation:||Su, Y.,Tan, K.K.,Lee, T.H. (2012). Computation delay compensation for real time implementation of robust model predictive control. IEEE International Conference on Industrial Informatics (INDIN) : 242-247. ScholarBank@NUS Repository. https://doi.org/10.1109/INDIN.2012.6301174||Abstract:||The implementation of Model Predictive Control (MPC) requires to solve an optimization problem online. The computation time, often not negligible especially for Nonlinear MPC (NMPC), introduces a delay in the feedback loop. Moreover, it impedes fast sampling rate setting for the controller to react to uncertainties quickly. In this paper, a dual time scale control scheme is proposed for linear/nonlinear systems with external disturbances. A pre-compensator works at fast sampling rate to suppress uncertainty, while the outer MPC controller updates the open loop input sequence at a slower rate. The computation delay is explicitly considered and compensated in the MPC design. Four Robust MPC algorithms for linear/nonlinear systems in the literature are tailored for the proposed control scheme. The recursive feasibility and stability are rigorously analyzed. Simulation examples validate the proposed approaches. © 2012 IEEE.||Source Title:||IEEE International Conference on Industrial Informatics (INDIN)||URI:||http://scholarbank.nus.edu.sg/handle/10635/69678||ISBN:||9781467303118||ISSN:||19354576||DOI:||10.1109/INDIN.2012.6301174|
|Appears in Collections:||Staff Publications|
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