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Optimum Decentralized Control of a CMG with Minimum Variance using Particle Swarm Optimization

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Author(s):
Toriumi, Fabio Y. ; Angelico, Bruno A. ; IEEE
Total Authors: 3
Document type: Journal article
Source: 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC); v. N/A, p. 6-pg., 2019-01-01.
Abstract

This paper considers the application of Particle Swarm Optimization (PSO) to decentralized control of a Control Moment Gyroscope (CMG). The PSO is used to obtain optimized gains for a decentralized PID controller. A cost function with ITAE index combined with the control signal variance is proposed for the system. A simple velocity feedback is proposed for damping resonant poles prior to the decentralized control. Simulation and practical results are presented in order to validate the methodology. (AU)

FAPESP's process: 17/22130-4 - Applied Robust Control
Grantee:Bruno Augusto Angélico
Support Opportunities: Regular Research Grants
FAPESP's process: 13/25605-2 - Decentralized control of MIMO systems
Grantee:Bruno Augusto Angélico
Support Opportunities: Regular Research Grants