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Articles

Analytical method on stabilisation of fractional-order plants with interval uncertainties using fractional-order PIλ Dμ controllers

Pages 935-953 | Received 27 Feb 2018, Accepted 18 Feb 2019, Published online: 11 Mar 2019
 

ABSTRACT

This paper proposes an analytical criterion to determine the stabilisation of a fractional-order plant with interval uncertainties in the coefficients using the fractional-order PIλDμ controller. First, the nominal function and the disturbance function are defined according to the characteristic function of the closed loop system. The vertex functions of the value set with respect to the disturbance function are given by using Minkowski sum. The test frequency interval is divided into several intervals, and the vertex functions are unchanged in these intervals determined by the switching frequencies. Therefore, the calculation method of these frequencies is given. Second, the calculation method on the finite test frequency interval is proposed to simplify the number of frequency intervals. Third, the analytical condition that the origin is located on the edge of the value set is investigated. Based on this condition, the sufficient condition and necessary condition for the stabilisation of fractional-order plant using the PIλDμ controller are offered. Moreover, the analytical methods on a fractional-order plant with interval uncertainties using the fractional-order PIλ controller and the fractional-order PDμ controller are also discussed. Finally, three examples are given to validate the effectiveness of the proposed methods.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China under Grants 61304094, 61673198, 61773187, and Natural Science Foundation of Liaoning Province, China under Grant 20180520009.

Notes on contributors

Zhe Gao

Zhe Gao is the Associate Professor of the Department of Electrical Engineering and Automation in College of Light Industry at Liaoning University. He received the Ph.D. degree in control theory and control engineering from Beijing Institute of Technology in 2012, Beijing, China, the M.S. degree from Northeastern University in 2008, Shenyang China, and the B.S. degree from Shenyang Ligong University in 2006, Shenyang, China, respectively. His research interests include controller design, identification and state estimation in fractional-order systems.

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