Controller Design for Rotary Inverted Pendulum System Using Evolutionary Algorithms
Joint Authors
Hassanzadeh, Iraj
Mobayen, Saleh
Source
Mathematical Problems in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-01
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper presents evolutionary approaches for designing rotational inverted pendulum (RIP) controller including genetic algorithms (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) methods.
The goal is to balance the pendulum in the inverted position.
Simulation and experimental results demonstrate the robustness and effectiveness of the proposed controllers with regard to parameter variations, noise effects, and load disturbances.
The proposed methods can be considered as promising ways for control of various similar nonlinear systems.
American Psychological Association (APA)
Hassanzadeh, Iraj& Mobayen, Saleh. 2011. Controller Design for Rotary Inverted Pendulum System Using Evolutionary Algorithms. Mathematical Problems in Engineering،Vol. 2011, no. 2011, pp.1-17.
https://search.emarefa.net/detail/BIM-481760
Modern Language Association (MLA)
Hassanzadeh, Iraj& Mobayen, Saleh. Controller Design for Rotary Inverted Pendulum System Using Evolutionary Algorithms. Mathematical Problems in Engineering No. 2011 (2011), pp.1-17.
https://search.emarefa.net/detail/BIM-481760
American Medical Association (AMA)
Hassanzadeh, Iraj& Mobayen, Saleh. Controller Design for Rotary Inverted Pendulum System Using Evolutionary Algorithms. Mathematical Problems in Engineering. 2011. Vol. 2011, no. 2011, pp.1-17.
https://search.emarefa.net/detail/BIM-481760
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481760