Dynamic System Control Dispatch: A Global Optimization Approach

Giorgio Fasano ()
Additional contact information
Giorgio Fasano: Thales Alenia Space

A chapter in Modeling and Optimization in Space Engineering, 2019, pp 87-110 from Springer

Abstract: Abstract This work originates from research related to an optimal control dispatch problem in space: the problem in question is presented in detail in another chapter of this volume by Anselmi et al. (Control propellant minimization for the next generation gravity mission. In: Fasano G, Pintér JD (eds) Modeling and optimization in space engineering – state of the art and new challenges. Springer, New York, 2019). Here we discuss the general issue of dispatching the control of a dynamic system through a number of actuators, presenting a novel model development and algorithmic solution approach. A control law, expressed in terms of total force and torque demand, represents the operational scenario. This gives rise to a very challenging optimization problem, concerning the actuator accommodation and utilization. Following the model formulation, a dedicated heuristic approach–involving nonlinear and mixed integer linear programming–is proposed. The numerical results presented illustrate the efficiency of the methodology adopted.

Keywords: 90C06; 90C11; 90C26; 90C30; 90C59; 90C90 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-10501-3_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030105013

DOI: 10.1007/978-3-030-10501-3_4

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().