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

Autor(es)

Toriumi, Fabio Y. ; Angelico, Bruno A. ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC); v. N/A, p. 6-pg., 2019-01-01.

Resumo

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)

• Processo FAPESP: 17/22130-4 - Controle Robusto Aplicado
• Beneficiário: Bruno Augusto Angélico
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 13/25605-2 - Controle descentralizado em sistemas MIMO
• Beneficiário: Bruno Augusto Angélico
• Modalidade de apoio: Auxílio à Pesquisa - Regular