The Gradient Based Nonlinear Model Predictive Control System - Brossura

Jung, Sooyong

Brossura

ISBN 10: 363921241X ISBN 13: 9783639212419

Casa editrice: Vdm Verlag Dr Mueller E K, 2009

Riassunto

A class of nonlinear model predictive control(NMPC) law based on gradient-based iteration is analyzed and implemented real-time in this book. This NMPC law takes only a finite number of Newton steps in each sampling period instead of solving the complete optimal control problem. The key attribute of the NMPC algorithmused here is that it only seeks to reduce the error at the end of the prediction horizon rather than tries to find the optimal solution. This reduces the computation load and allows for real-time implementation. The stability is shown for a class of discrete-time control-affine system that the NMPC has some inherent robustness property with respect to external disturbances and model error. This property follows from the exponential convergence of the predicted state error. The robustness of this NMPC is analyzed and quantified with uncertainties. In addition to simulation examples, the NMPC algorithm is also applied to the swing-up control experiment of a rotary inverted pendulum. We also discuss the implementation strategy, state estimation issue, and experimental results.

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Informazioni sull?autore

received B.S in Seoul National University,Korea, M.S in Columbia University,USA, and Ph.D in Rensselaer Polytechnic Institute,USA, 2002. He is working in Digital Printing Division, Samsung Electronics Co., Ltd. His research includes nonlinear model-predictive control, embedded system and HIL simulation for automotive and printing system.

Dettagli dell'edizione

• Editore: Vdm Verlag Dr Mueller E K
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 363921241X
• ISBN 13: 9783639212419
• Rilegatura: Copertina flessibile
• Numero di pagine: 136
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile