Title
Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm
Date of Award
2003
Degree Type
Thesis
Degree Name
Master of Applied Science (MASc)
Department
Mechanical Engineering
First Advisor
Guangjun Liu
Abstract
The thesis presents a Genetic Algorithm with Adaptive Search Space (GAASS) proposed to improve both convergence performance and solution accuracy of traditional Genetic Algorithms(GAs). The propsed GAASS method has bee hybridized to a real-coded genetic algorithm to perform hysteresis parameters identification and hystereis invers compensation of an electromechanical-valve acuator installed on a pneumatic system. The experimental results have demonstrated the supreme performance of the proposed GAASS in the search of optimum solutions.
Recommended Citation
Chan, Che-Hang Cliff, "Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm" (2003). Theses and dissertations. Paper 347.
http://digitalcommons.ryerson.ca/dissertations/347