Nonlinear MPC versus MPC using on-line linearisation - A comparative study

N. Blet; D. Megías; J. Serrano; C. De Prada

doi:10.3182/20020721-6-es-1901.00593

Nonlinear MPC versus MPC using on-line linearisation - A comparative study

N. Blet, D. Megías, J. Serrano, C. De Prada

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One of the main drawbacks of NMPC schemes is the enormous computational effort these controllers require. On the other hand, linear MPC methods can be implemented solving just Quadratic Programming (QP) or Linear Programming (LP) problems. In this paper, an alternative implementation of NMPC suggested by De Keyser (1998) is implemented to reduce the computational effort. This methodology is based on on-line linearisation and solves and iterative procedure which, if convergent, provides with the solution of the NMPC problem. This controller is tested and compared with the purely nonlinear MPC schemes.

Idioma original	Anglès nord-americà
Pàgines (de-a)	147-152
Nombre de pàgines	6
Revista	IFAC Proceedings Volumes (IFAC-PapersOnline)
Número	1
DOIs	https://doi.org/10.3182/20020721-6-es-1901.00593
Estat de la publicació	Publicada - 1 de gen. 2002

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title = "Nonlinear MPC versus MPC using on-line linearisation - A comparative study",

abstract = "One of the main drawbacks of NMPC schemes is the enormous computational effort these controllers require. On the other hand, linear MPC methods can be implemented solving just Quadratic Programming (QP) or Linear Programming (LP) problems. In this paper, an alternative implementation of NMPC suggested by De Keyser (1998) is implemented to reduce the computational effort. This methodology is based on on-line linearisation and solves and iterative procedure which, if convergent, provides with the solution of the NMPC problem. This controller is tested and compared with the purely nonlinear MPC schemes.",

keywords = "Constraints, Nonlinear systems, Predictive control",

author = "N. Blet and D. Meg{\'i}as and J. Serrano and {De Prada}, C.",

year = "2002",

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doi = "10.3182/20020721-6-es-1901.00593",

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T1 - Nonlinear MPC versus MPC using on-line linearisation - A comparative study

AU - Blet, N.

AU - Megías, D.

AU - Serrano, J.

AU - De Prada, C.

PY - 2002/1/1

Y1 - 2002/1/1

N2 - One of the main drawbacks of NMPC schemes is the enormous computational effort these controllers require. On the other hand, linear MPC methods can be implemented solving just Quadratic Programming (QP) or Linear Programming (LP) problems. In this paper, an alternative implementation of NMPC suggested by De Keyser (1998) is implemented to reduce the computational effort. This methodology is based on on-line linearisation and solves and iterative procedure which, if convergent, provides with the solution of the NMPC problem. This controller is tested and compared with the purely nonlinear MPC schemes.

AB - One of the main drawbacks of NMPC schemes is the enormous computational effort these controllers require. On the other hand, linear MPC methods can be implemented solving just Quadratic Programming (QP) or Linear Programming (LP) problems. In this paper, an alternative implementation of NMPC suggested by De Keyser (1998) is implemented to reduce the computational effort. This methodology is based on on-line linearisation and solves and iterative procedure which, if convergent, provides with the solution of the NMPC problem. This controller is tested and compared with the purely nonlinear MPC schemes.

KW - Constraints

KW - Nonlinear systems

KW - Predictive control

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U2 - 10.3182/20020721-6-es-1901.00593

DO - 10.3182/20020721-6-es-1901.00593

M3 - Artículo

AN - SCOPUS:84945574001

SN - 1474-6670

SP - 147

EP - 152

JO - IFAC Proceedings Volumes (IFAC-PapersOnline)

JF - IFAC Proceedings Volumes (IFAC-PapersOnline)

IS - 1

ER -

Nonlinear MPC versus MPC using on-line linearisation - A comparative study

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