Guaranteed robust state feedback controller via constrained optimization using Differential Evolution
Computational intelligence has been successfully applied into many engineering applications including control engineering problems. In this paper, a robust state feedback control design via constrained optimization based on Differential Evolution (DE) is proposed. The feedback controller i...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5398/4/5398-Guaranteed_Robust_State_Feedback_Controller_SCOPUS.pdf http://irep.iium.edu.my/5398/5/5398.pdf http://irep.iium.edu.my/5398/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5545279 |
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| Summary: | Computational intelligence has been successfully
applied into many engineering applications including control
engineering problems. In this paper, a robust state feedback
control design via constrained optimization based on
Differential Evolution (DE) is proposed. 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. The experimental result is shown
and comparison with that of LQ (linear quadratic) optimal
controller is made. The proposed method effectively locates the
closed loop poles within the prescribed wedge region and its
robust performance is guaranteed. |
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