4.6 Article

Adaptive Fixed-Time Position Precision Control for Magnetic Levitation Systems

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TASE.2022.3156943

Keywords

Magnetic levitation; Switches; Interference; Control systems; Convergence; Sliding mode control; Adaptation models; Magnetic levitation systems; fixed-time control; adaptive control; disturbance compensation; chattering reduction

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This paper proposes a novel adaptive fixed-time controller based on disturbance compensation technology for achieving high performance position precision control in magnetic levitation systems. The controller uses a generalized proportional integral observer to estimate and compensate for time-varying interference, which improves anti-interference ability and reduces chattering. Additionally, the switching gain of the controller is adjustable, allowing for improved convergence rate and reduced chattering in different system states.
A novel adaptive fixed-time controller (AFTC) based on disturbance compensation technology is proposed to achieve high performance position precision control for magnetic levitation system in this paper. Firstly, the dynamic model of the magnetic levitation system is established and a fixed-time controller (FTC) is designed to realize the closed-loop control. However, this approach usually requires a large switching gain to suppress interference, resulting in chattering. In view of this, the generalized proportional integral observer (GPIO) is introduced to estimate and compensate the time-varying interference, which can not only improve the anti-interference ability, but also reduce the chattering by choosing a smaller switching gain. Nevertheless, these two performance improvements come at the cost of the dynamic response rate. In order to improve steady state performance without sacrificing dynamic performance, an adaptive fixed-time controller based on GPIO is proposed, which has a significant advantage because of the adjustable switching gain. Specifically, when the system state is far from the sliding mode surface, a larger switching gain is adjusted to improve the convergence rate. When the system state is close to the sliding mode surface, a smaller switching gain is adjusted to reduce chattering. Simulation and experimental results demonstrate the superiority of the proposed AFTC-GPIO method qualitatively and quantitatively.

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