4.5 Article

Adaptive Continuous Sliding Mode Control for Fractional-order Systems with Uncertainties and Unknown Control Gains

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INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-021-0211-0

关键词

Adaptive control; finite-time stability; fractional-order nonlinear system; sliding mode control

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The main purpose of this paper is to design a continuous sliding mode control, which addresses the stability problem of fractional-order nonlinear systems considering both matched and unmatched uncertainties, as well as unknown control gains. Three different sliding mode controllers are proposed to mitigate the chattering problem, incorporating an adaptive fractional-order filter. A control function composed of a novel SMC method and backstepping control is introduced to handle the unmatched uncertainty. The analysis results of this paper are theoretically proved using fractional-order Lyapunov technology and finite-time control strategy. Finally, the effectiveness and feasibility of the proposed chattering-free sliding mode control are demonstrated through its application to the control of a fractional-order horizontal platform system.
The main purpose of this paper is to design the continuous sliding mode control, which resolves the stability problem of fractional-order nonlinear systems by taking into consideration both matched and unmatched uncertainties, and unknown control gains. Three different sliding mode controllers are put forward to attenuate the chattering problem, which pass an adaptive fractional-order filter. The control function constituted of a novel SMC method and backstepping control is proposed to deal with the problem of unmatched uncertainty. Utilizing the fractional-order Lyapunov technology and the finite-time control strategy, the analysis results of this paper are theoretically proved. Finally, the availability and feasibility of the suggested chattering free sliding mode control are also confirmed by the application to the control of the fractional-order horizontal platform system.

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