期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
卷 69, 期 6, 页码 2787-2791出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2021.3131369
关键词
Observers; Mathematical models; Heuristic algorithms; Circuits and systems; Convergence; Uncertainty; Tuning; Observers; Fractional-Order Systems; Super-Twisting Algorithm (STA); Fractional Adams-Moulton (FAM) Method; Implicit Euler Discretization; Chattering Suppression
资金
- Center for Energy and Resources Development (CERD), Indian Institute of Technology (BHU), Varanasi, India (2016-2021) through Project titled Fractional-Order Modeling and Control of PEM Fuel Cell System
- NSFCShenzhen Robotics Basic Research Center Program [U1713202]
- Shenzhen Science and Technology Program [JCYJ20180508152226630, JCYJ20190806145001754]
- Natural Science Foundation of China [11702073]
This work presents the design of a discrete-time super-twisting algorithm based fractional-order observer for a specific class of non-linear fractional-order systems. The proposed observer achieves higher performance in terms of robustness and convergence time compared to traditional integer-order observers. It generalizes the observer design for non-linear fractional-order systems. The proposed approach reduces the significance of peaking phenomenon and suppresses chattering using the Fractional Adams-Moulton Method, an implicit Euler discretization technique. The importance of the proposed observer is illustrated through a simulation example.
The work presented in this brief describes the design of a discrete-time super-twisting algorithm based fractional-order observer for a class of non-linear fractional-order systems. The proposed observer is shown to achieve higher performance as compared to the conventional integer-order observers in terms of robustness and convergence time. It generalizes the design of observers for the class of non-linear fractional-order systems. The peaking phenomenon is observed to be less significant in the proposed approach. Chattering is suppressed with the Fractional Adams-Moulton Method, which is an implicit Euler discretization technique. The significance of the proposed observer is illustrated through a simulation example.
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