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...
| 主要な著者: | , , |
|---|---|
| フォーマット: | Proceeding Paper |
| 言語: | English |
| 出版事項: |
2011
|
| 主題: | |
| オンライン･アクセス: | http://irep.iium.edu.my/5391/1/icom11_iwan.pdf |
| 要約: | 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. |
|---|