Artifial intelligence (AI) controller design for beam and ball system /
Ibrahim Iderus
Artifial intelligence (AI) controller design for beam and ball system / Artifial intelligence (AI) controller design for beam and ball system [electronic resource] Ibrahim Bin Iderus - Kuantan, Pahang : UMP, 2008 - 52 p. : ill. (some col.) ; 30 cm. + 1 computer disc
Project paper (Bachelor of Electrical Engineering (Control and instrumentation)) -- Universiti Malaysia Pahang - 2008
Artificial Intelligence controller design for beam and ball mean we control and balancing the ball always on the top of the beam. Design of a fuzzy controller requires more design decisions than usual, for example regarding rule base, inference engine, defuzzification and data pre- and post processing. The fuzzy logic was applied to this system so that we can make the system in stable condition. This is a difficult control task because the ball does not stay in one place on the beam but moves with an acceleration that is proportional to the tilt of the beam. This is open loop unstable because the ball position increases without limit for a fixed input .That mean we need to regulate the position of the ball on the beam by changing the angle of the beam. The system didn’t apply any hardware because it totally software and been designed using Matlab as the medium to gain the desire result. The result gain from this project is very important as the strong basic in adapting to the other systems.
THE0005480(Local)
Artificial intelligence
Fuzzy logic
Artifial intelligence (AI) controller design for beam and ball system / Artifial intelligence (AI) controller design for beam and ball system [electronic resource] Ibrahim Bin Iderus - Kuantan, Pahang : UMP, 2008 - 52 p. : ill. (some col.) ; 30 cm. + 1 computer disc
Project paper (Bachelor of Electrical Engineering (Control and instrumentation)) -- Universiti Malaysia Pahang - 2008
Artificial Intelligence controller design for beam and ball mean we control and balancing the ball always on the top of the beam. Design of a fuzzy controller requires more design decisions than usual, for example regarding rule base, inference engine, defuzzification and data pre- and post processing. The fuzzy logic was applied to this system so that we can make the system in stable condition. This is a difficult control task because the ball does not stay in one place on the beam but moves with an acceleration that is proportional to the tilt of the beam. This is open loop unstable because the ball position increases without limit for a fixed input .That mean we need to regulate the position of the ball on the beam by changing the angle of the beam. The system didn’t apply any hardware because it totally software and been designed using Matlab as the medium to gain the desire result. The result gain from this project is very important as the strong basic in adapting to the other systems.
THE0005480(Local)
Artificial intelligence
Fuzzy logic