Earticle

초록

영어

In this paper, a new approach to the super-twisting sliding mode control of uncertain systems is proposed. The idea behind this control scheme is to utilize an adaptive sliding surface function, in which the slope of the surface is updated on-line using a simple single input-single output fuzzy logic inference system so that the sliding surface is rotated in such a direction that the tracking performance of the system under control is improved. Computer simulations are performed on a system with parameter uncertainties and external disturbances. The results are compared with a conventional super twisting sliding mode controller with a fixed sliding surface. The results have shown the improved performance of the proposed control approach in terms of a decrease in the reaching and settling times and robustness to parameter uncertainties and disturbances as compared to the conventional super-twisting sliding mode controller with a fixed sliding surface. Moreover, the proposed control scheme is very simple and easy to implement.

목차

Abstract
 1. Introduction
 2. Super-twisting Sliding Mode Control
 3. Super-twisting Sliding Mode Controller with Fuzzy Logic based Adaptive Sliding Surface
 4. Adaptive Super-twisting Sliding Mode Control with a Single Input-Single Output Fuzzy Logic Control based Sliding Surface
 5. Simulations
  5.1. Model Description
  5.2. Control Design
  5.3. Simulation Results
 6. Conclusion
 References

키워드

저자

• Abdul Kareem [ Research Scholar, E&C, St. Peter’s University, Chennai, Associate Professor, Sahyadri College of Engineering & Management, Mangalore ]
• Mohammad Fazle Azeem [ Professor &Academic Director Department of Electronics and Communication Engineering/ Telecommunication PA College of Engineering, Mangalore ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605