Smith Prediction Monitor AGC System Based on CPSO Self-Tuning Pi Control
2013 ◽
Vol 753-755
◽
pp. 2602-2606
Keyword(s):
In accordance with the feature of pure delay in monitor AGC system for hot rolling mill, a new self-tuning PI Smith prediction controller based on chaotic particle swarm optimization (CPSO) is developed. The algorithmic principle and design method of new controller are given. Based on the typical monitor AGC model of tandem hot mill, the analysis of dynamic performance for traditional PI Smith prediction controller and CPSO self-tuning PI Smith prediction controller is done by MATLAB. The simulation results indicate that CPSO self-tuning PI Smith prediction controller has faster response and higher static accuracy than traditional PI Smith prediction controller.
2019 ◽
Vol 11
(3)
◽
pp. 168781401983350
◽
2018 ◽
Vol 381
◽
pp. 012063
◽
Keyword(s):
2013 ◽
Vol 760-762
◽
pp. 487-491
2015 ◽
Vol 15
(6)
◽
pp. 70-80
◽
2020 ◽
Vol 76
(8)
◽
pp. 847-855
Keyword(s):
2018 ◽
Vol 138
(5)
◽
pp. 486-491
◽
Keyword(s):
2010 ◽
Vol 29
(12)
◽
pp. 3273-3276
2020 ◽
Vol 966
◽
pp. 012101
Keyword(s):