论文信息 - Optimum Decentralized Control of a CMG with Minimum Variance using Particle Swarm Optimization

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

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.

Fabio Y. Toriumi | Bruno A. Angélico | B. Angélico | F. Toriumi

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