Real-coded genetic algorithm based fuzzy sliding-mode control design for precision positioning
Resource
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Journal
The IEEE International Conference on Fuzzy Systems, 1998
Journal Volume
2
Pages
1247-1252
Date Issued
1998-05
Date
1998-05
Author(s)
Abstract
A fuzzy sliding-mode controller was optimized through real-coded genetic algorithms and successfully implemented on an industrial XY table. The fuzzy sliding-mode controller is special type of fuzzy controller. By using the sliding surface, the fuzzy rule is simpler and the entire rule base is more compact. Thus, more easy to apply self-learning schemes. The real-coded genetic algorithm uses the internal floating-point representation of the computer system. With this advantage, the finite resolution problem of traditional genetic algorithm has been solved. The experimental results show the success of this approach. © 1998 IEEE.
Other Subjects
Control system synthesis; Fuzzy sets; Genetic algorithms; Learning systems; Position control; Fuzzy sliding-mode control; Precision positioning; Fuzzy control
Type
conference paper
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