Modelling and Fuzzy Control of Ball and Beam System

2018 ◽  
Author(s):  
Abdulbasid Ismail Isa ◽  
Mukhtar Fatihu Hamza ◽  
Aminu Yahaya Zimit ◽  
Jamilu Kamilu Adamu
Keyword(s):  
Fuzzy Control ◽  
Beam System ◽  
Ball And Beam System

New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system

2015 ◽  
Vol 294 ◽  
pp. 203-215 ◽  
Author(s):  
Oscar Castillo ◽  
Evelia Lizárraga ◽  
Jose Soria ◽  
Patricia Melin ◽  
Fevrier Valdez
Keyword(s):  
Fuzzy Control ◽  
Ant Colony Optimization ◽  
Control Design ◽  
Ant Colony ◽  
Set Partition ◽  
New Approach ◽  
Beam System ◽  
Ball And Beam System

scholarly journals Optimized PID Position Control of a Nonlinear System Based on Correlating the Velocity with Position Error

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Nenad Muškinja ◽  
Matej Rižnar
Keyword(s):  
Pid Controller ◽  
Position Control ◽  
Design Approach ◽  
Control Loop ◽  
Real Time Control ◽  
Laboratory Setup ◽  
Time Control ◽  
Beam System ◽  
Ball Velocity ◽  
Ball And Beam System

We examined a design approach for a PID controller for a nonlinear ball and beam system. Main objective of our research was to establish a nonmodel based control system, which would also not be dependent on a specific ball and beam hardware setup. The proposed PID controller setup is based on a cascaded configuration of an inner PID ball velocity control loop and an outer proportional ball position control loop. The effectiveness of the proposed controller setup was first presented in simulation environment in comparison to a hardware dependent PD cascaded controller, along with a more comprehensive study on possible design approach for optimal PID controller parameters in relation to main functionality of the controller setup. Experimental real time control results were then obtained on a laboratory setup of the ball and beam system on which PD cascaded controller could not be applied without parallel system model processing.

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