Improved sliding mode controller for a nonlinear system based on a particle swarm optimization technique
Joint Authors
Abd al-Rahman, Nura Awf
Hammudi, Ahmad Khalaf
Source
Engineering and Technology Journal
Issue
Vol. 35, Issue 2A (28 Feb. 2017), pp.155-162, 8 p.
Publisher
Publication Date
2017-02-28
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
In this paper, the performance of the classical Sliding Mode Controller (CSMC) is improved by using the Particle Swarm Optimization (PSO) technique.
The PSO technique is used to obtain the optimal values of the CSMC parameters such as the gain K and the slope of sliding surface λ, and as a result, the response of the system is improved by decreasing the settling time of the system and makes the steady state error equal to zero.
A single inverted pendulum, which is considered an example of a nonlinear system, has been used for testing the proposed controller.
The simulation results are implementing by using the Programming and Simulink of Matlab, and the result shows a good validity of the proposed controller.
American Psychological Association (APA)
Hammudi, Ahmad Khalaf& Abd al-Rahman, Nura Awf. 2017. Improved sliding mode controller for a nonlinear system based on a particle swarm optimization technique. Engineering and Technology Journal،Vol. 35, no. 2A, pp.155-162.
https://search.emarefa.net/detail/BIM-770054
Modern Language Association (MLA)
Hammudi, Ahmad Khalaf& Abd al-Rahman, Nura Awf. Improved sliding mode controller for a nonlinear system based on a particle swarm optimization technique. Engineering and Technology Journal Vol. 35, no. 2A (2017), pp.155-162.
https://search.emarefa.net/detail/BIM-770054
American Medical Association (AMA)
Hammudi, Ahmad Khalaf& Abd al-Rahman, Nura Awf. Improved sliding mode controller for a nonlinear system based on a particle swarm optimization technique. Engineering and Technology Journal. 2017. Vol. 35, no. 2A, pp.155-162.
https://search.emarefa.net/detail/BIM-770054
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 162
Record ID
BIM-770054