Title :
Optimization of fuzzy control system based on extension method for ship course-changing/keeping
Author :
Minghui, Wang ; Yongquan, Yu ; Yun, Zhang ; Fei, Wang
Author_Institution :
Fac. of Comput., Guangdong Univ. of Technol., Guangzhou
Abstract :
This paper presents a new method to optimize the fuzzy control system for ship course-changing and course-keeping. In fuzzy control system, fuzzy rules optimization is a crucial step in the development of a fuzzy model. This work studies a new approach for fuzzy rule base optimization by means of extension method. The optimization solution especially solves the non-compatible problem in the generation process of fuzzy control rules. For the design study, the optimization model has been carried out in the MATILAB/Simulink environment. Simulation results show the effectiveness of the proposed algorithm.
Keywords :
digital simulation; fuzzy control; mathematics computing; motion control; ships; MATILAB; Simulink environment; fuzzy control system; fuzzy rule base optimization; ship course-changing; ship course-keeping; Conferences; Design optimization; Fuzzy control; Fuzzy systems; Information analysis; Intelligent control; Marine vehicles; Navigation; Optimization methods; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630404
