Optimization of control parameters for fluid power systems by genetic algorithms = 유전 알고리즘을 이용한 유공압 시스템 제어 파라미터 최적화

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This thesis presents a genetic algorithm-based method for optimizing control parameters for fluid power systems. Genetic algorithms are general-purpose optimization methods based on natural evolution and genetics. A genetic algorithm seeks control parameters that maximize a measure that evaluates system performance. Gains of a state feedback controller for an electropneumatic position control system and gains of a PID-PD cascade controller for an electrohydraulic speed control system were optimized by a genetic algorithm within reasonable number of experiments. It is concluded that genetic algorithms are efficient for optimizing control parameters for fluid power system.
Advisors
Lee, Chung-Ohresearcher이정오researcher
Description
한국과학기술원 : 기계공학과,
Publisher
한국과학기술원
Issue Date
1996
Identifier
105445/325007 / 000943316
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 기계공학과, 1996.2, [ vi, 46 p. ]

Keywords

Hydraulic; Gains; Genetic algorithms; Fluid power systems; Control parameters; Optimization; Pneumatic; 공압; 유압; 게인; 유전 알고리즘; 유공압 시스템; 제어 파라미터; 최적화

URI
http://hdl.handle.net/10203/46539
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=105445&flag=dissertation
Appears in Collection
ME-Theses_Master(석사논문)
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