Model Predictive Static Programming: A Computationally Efficient Technique For Suboptimal Control Design

Padhi, Radhakant and Kothari, Mangal (2009) Model Predictive Static Programming: A Computationally Efficient Technique For Suboptimal Control Design. In: International Journal Of Innovative Computing Information And Control, 5 (2). pp. 399-411.

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Abstract

Combining the philosophies of nonlinear model predictive control and approximate dynamic programming, a new suboptimal control design technique is presented in this paper, named as model predictive static programming (MPSP), which is applicable for finite-horizon nonlinear problems with terminal constraints. This technique is computationally efficient, and hence, can possibly be implemented online. The effectiveness of the proposed method is demonstrated by designing an ascent phase guidance scheme for a ballistic missile propelled by solid motors. A comparison study with a conventional gradient method shows that the MPSP solution is quite close to the optimal solution.

Item Type:	Journal Article
Publication:	International Journal Of Innovative Computing Information And Control
Publisher:	ICIC International
Additional Information:	Copyright of this article belongs to ICIC International.
Keywords:	Model predictive control;Approximate dynamic programming;Model predictive static programming;Ballistic missile guidance
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	13 Nov 2009 07:31
Last Modified:	07 Feb 2013 11:07
URI:	http://eprints.iisc.ac.in/id/eprint/19569

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