Robust feedback control design using PSO-based optimisation: a case study in gantry crane control

In this paper, a robust state feedback control design using particle swarm optimisation-based constrained optimisation The feedback controller is designed based on state space model of the plant with structured uncertainty such that the closed-loop system would have maximum stability radius. A wedg...

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Bibliographic Details
Main Authors: Solihin, Mahmud Iwan, Akmeliawati, Rini, Legowo, Ari
Format: Article
Language:English
Published: Inderscience 2011
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Online Access:http://irep.iium.edu.my/4151/1/Robust_feedback_control_design_using_PSO-based.pdf
http://irep.iium.edu.my/4151/
http://dx.doi.org/10.1504/IJMA.2011.040042
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Summary:In this paper, a robust state feedback control design using particle swarm optimisation-based constrained optimisation The feedback controller is designed based on state space model of the plant with structured uncertainty such that the closed-loop system would have maximum stability radius. A wedge region is assigned as a constraint to locate desired closed loop poles. The proposed method is applied into design of anti-swing control of an automatic gantry crane experiment. A comparison with that of LQR-based controller is made. The result shows that the proposed method effectively locates the closed loop poles within the prescribed wedge region and its robust performance is guaranteed.