Robust controller design for uncertain parametric systems using modern optimization approach
This paper presents a robust feedback controller design for parametric uncertainty systems via constrained optimization. The proposed controller design employs modern optimization tools (Particle Swarm Optimization and Differential Evolution) in a single objective constrained optimization. The ob...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5391/ http://irep.iium.edu.my/5391/ http://irep.iium.edu.my/5391/ http://irep.iium.edu.my/5391/1/icom11_iwan.pdf |
| Summary: | This paper presents a robust feedback controller
design for parametric uncertainty systems via constrained
optimization. The proposed controller design employs modern
optimization tools (Particle Swarm Optimization and Differential Evolution) in a single objective constrained optimization. The objective of the optimization is to search for a set of robust controller gains such that the stability radius of the closed-loop system is maximized. The constraint of the optimization is a closed-loop poles region which is directly related to the desired time-domain control performance. The proposed controller design is applied to control of pendulum-like systems (gantry crane, flexible joint and inverted pendulum). The results show the robust performance of the designed controller. |
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