Fractional Order Sliding Mode Control via Disturbance Observer for a Class of Fractional Order Systems With Mismatched Disturbance

6 Pages Posted: 9 Nov 2018

See all articles by Jing Wang

Jing Wang

Beijing University of Chemical Technology

Changfeng Shao

Beijing University of Chemical Technology

Yang Quan Chen

University of California, Merced

Date Written: July 2018

Abstract

This paper investigates a novel fractional order sliding mode control for a class of fractional order and integer order systems with mismatched disturbances. First, a new fractional order disturbance observer is designed to estimate the fractional order differential of the mismatched disturbance directly. Second, the fractional order sliding surface and controller are proposed based on the designed disturbance observer. This method can deal with mismatched disturbance and has better control performance with faster response speed, lower overshoot, and less chattering effect. The simulations on Maglev suspension system demonstrate the effectiveness of the proposed method.

Keywords: fractional order calculus, fractional order sliding mode control, fractional order disturbance observer, mismatched uncertain

Suggested Citation

Wang, Jing and Shao, Changfeng and Chen, Yang Quan, Fractional Order Sliding Mode Control via Disturbance Observer for a Class of Fractional Order Systems With Mismatched Disturbance (July 2018). Proceedings of International Conference on Fractional Differentiation and its Applications (ICFDA) 2018. Available at SSRN: https://ssrn.com/abstract=3281368 or http://dx.doi.org/10.2139/ssrn.3281368

Jing Wang

Beijing University of Chemical Technology ( email )

15 N. 3rd Ring Rd E
Chaoyang, Beijing, 201204
China

Changfeng Shao

Beijing University of Chemical Technology ( email )

15 N. 3rd Ring Rd E
Chaoyang, Beijing, 201204
China

Yang Quan Chen (Contact Author)

University of California, Merced ( email )

P.O. Box 2039
Merced, CA 95344
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
3
Abstract Views
59
PlumX Metrics