A multiagent system for efficient electrical energy management on the Palamede satellite

The fundamental role of autonomous agents in managing activities of space systems has emerged from 1990s with the NASA's Remote Agent Experiment. This paper gives a contribution in exploring the possible advantages of employing multiple agents to efficiently and autonomously manage electrical energy on a satellite. The general idea is to associate an agent to each subsystem of the satellite in order to manage its activities. The global interaction between agents allows to obtain an efficient electrical energy consumption. We experimentally validated our system in the scenario provided by Palamede, a low Earth orbit satellite under development at the Department of Aerospace Engineering of the Politecnico di Milano.

[1]  Norman M. Sadeh,et al.  Distributed constrained heuristic search , 1991, IEEE Trans. Syst. Man Cybern..

[2]  Vipin Kumar,et al.  Algorithms for Constraint-Satisfaction Problems: A Survey , 1992, AI Mag..

[3]  J. Jaap,et al.  On using an incremental scheduler for human exploration task scheduling , 2005, 2005 IEEE Aerospace Conference.

[4]  Keith S. Decker,et al.  DECAF - A Flexible Multi Agent System Architecture , 2003, Autonomous Agents and Multi-Agent Systems.

[5]  Manoj Kumar Tiwari,et al.  Solving Part-Type Selection and Operation Allocation Problems in an FMS: An Approach Using Constraints-Based Fast Simulated Annealing Algorithm , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[6]  P. Pandurang Nayak,et al.  Remote Agent: To Boldly Go Where No AI System Has Gone Before , 1998, Artif. Intell..

[7]  NICHOLAS R. JENNINGS,et al.  An agent-based approach for building complex software systems , 2001, CACM.

[8]  Nicola Muscettola,et al.  IDEA: Planning at the Core of Autonomous Reactive Agents , 2002 .

[9]  Rob Sherwood,et al.  Casper: Space Exploration through Continuous Planning , 2001, IEEE Intell. Syst..

[10]  F. Bernelli Zazzera,et al.  Realization of a MATLAB Library for the Design and the Dynamic Simulation of Spacecraft's Power Subsystem , 2005 .

[11]  erard Verfaillie Dynamic Backtracking for Dynamic Constraint Satisfaction Problems , 1994 .

[12]  Dorothy Ndedi Monekosso,et al.  Autonomous Spacecraft Resource Management: A Multi-agent Approach , 1999, AI*IA.

[13]  Francesco Amigoni,et al.  A multiagent architecture for controlling the Palamede satellite , 2010, Web Intell. Agent Syst..

[14]  Steve Ankuo Chien,et al.  Autonomous Science on the EO-1 Mission , 2003 .

[15]  Matthew L. Ginsberg,et al.  Dynamic Backtracking , 1993, J. Artif. Intell. Res..

[16]  Walt Truszkowski,et al.  MULTI-AGENT PLANNING AND SCHEDULING ENVIRONMENT FOR ENHANCED SPACECRAFT AUTONOMY , 1999 .

[17]  Edmund H. Durfee,et al.  Trends in Cooperative Distributed Problem Solving , 1989, IEEE Trans. Knowl. Data Eng..

[18]  A. Ercoli Finzi,et al.  Project PALAMEDE at Politecnico di Milano: a Real Satellite to Teach Satellites Design Techniques , 2001 .

[19]  Rob Sherwood,et al.  The EO-1 Autonomous Sciencecraft , 2007 .

[20]  Makoto Yokoo,et al.  Algorithms for Distributed Constraint Satisfaction: A Review , 2000, Autonomous Agents and Multi-Agent Systems.