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Robust feedback control design using PSO-based optimisation: a case study in gantry crane control
- Source :
- International Journal of Mechatronics and Automation. 1:121
- Publication Year :
- 2011
- Publisher :
- Inderscience Publishers, 2011.
-
Abstract
- In this paper, a robust state feedback control design using particle swarm optimisation-based constrained optimisation 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 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.
- Subjects :
- Engineering
State-space representation
business.industry
Computational Mechanics
Particle swarm optimization
Control engineering
Closed-loop pole
Wedge (geometry)
Industrial and Manufacturing Engineering
Computational Mathematics
Stability radius
Artificial Intelligence
Control and Systems Engineering
Control theory
Electrical and Electronic Engineering
Robust control
business
Gantry crane
Subjects
Details
- ISSN :
- 20451067 and 20451059
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- International Journal of Mechatronics and Automation
- Accession number :
- edsair.doi...........4256b1407e43bfde04132db56557807e
- Full Text :
- https://doi.org/10.1504/ijma.2011.040042