DocumentCode :
3489335
Title :
PID Parameter Optimization of Shunting and Winch Control System in Coal Transportation Based Online Adaptive Genetic Algorithm
Author :
Lu Di ; Zhu Lei ; Li Xiang
Author_Institution :
Sch. of Mech. & Electr. Eng., Xi´an Univ. of Archit. & Technol., Xi´an, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
4
Abstract :
For coal transportation in the shunting and winch system PID tuning is proposed adaptive genetic algorithm for parameter optimization of PID control, the adaptive line genetic algorithm combined with PID control technology, simulation achieved by shunting and winch system in the coal application, simulation results show that the online adaptive genetic algorithm for online optimization of PID parameters compared to traditional adjustment methods with better robustness, optimality, can better realize the automation of regulator parameters.
Keywords :
adaptive systems; coal; genetic algorithms; mining industry; optimisation; three-term control; transportation; winches; PID parameter optimization; PID tuning; coal transportation based online adaptive genetic algorithm; parameter optimization; shunting; winch control system; Adaptive systems; Biological system modeling; Control systems; Genetics; Optimization; Transportation; Winches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5661509
Filename :
5661509
Link To Document :
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