Design and Implementation of a Magnetic Levitation System Controller using Global Sliding Mode Control

Uswarman, Rudi; Cahyadi, Adha Imam; Wahyunggoro, Oyas

doi:10.14203/j.mev.2014.v5.17-26

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…The simplest design of MLS is shown in Fig. 1 [20]. The system consists of an iron object, an inductor to generate the electromagnetic force, a controller (Microcontroller), and a driver [21].…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Control Design for Magnetic Levitation System

Ma’arif

Márquez-Vera²,

Mahmoud³

et al. 2023

Journal of Robotics and Control

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This paper presents a control system design for a magnetic levitation system (Maglev) or MLS using sliding mode control (SMC). The MLS problem of levitating the object in the air will be solved using the controller. Inductors used in MLS make the system have nonlinear characteristics. Thus, a nonlinear controller is the most suitable control design for MLS. SMC is one of the nonlinear controllers with good robustness and can handle any model mismatch. Based on simulation results with a step as input reference, MLS provided good system performances: 0.0991s rise time, 0.1712s settling time, and 0.0159 overshoot. Moreover, a prominent tracking control for sine wave reference was also shown. Although the augmented system had a chattering effect on the control signal, the chattering control signal did not affect MLS performances.

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Section: Introductionmentioning

confidence: 99%

Sliding Mode Control Design for Magnetic Levitation System

Ma’arif

Márquez-Vera²,

Mahmoud³

et al. 2023

Journal of Robotics and Control

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“…There are some proposed methods to control the maglev system such as PID controller [9], the fuzzy logic controller [10], [11], LQR [12], Fault-tolerant control and state observer [13], nonlinear power shaping [14], sliding mode control [15], Global Sliding Mode Control [16], Modified Sliding Mode Control [17], feedback linearization [18] and backstepping [19]. Each of them has its own advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Robust Integral State Feedback Using Coefficient Diagram in Magnetic Levitation System

Iswanto

Ma’arif

2020

IEEE Access

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Magnetic Levitation System or Maglev system is a modern and future technology that has many advantages and applications. Its characteristic is highly nonlinear, fast dynamics, and unstable, so it is challenging to make a suitable controller. The model of the Maglev system is in nonlinear state-space representation, and then feedback linearization is implemented to obtain the linear model system. Then, the integral state feedback control that tuned by the coefficient diagram method is implemented. The robustness of the controller is determined using the coefficient diagram method. The result of the standard coefficient diagram parameter will be compared with the robustness parameter. The open-loop test simulation showed that the maglev system has a nonlinear characteristic. Among all of the uncertainties, the uncertainty of resistance provides the highest nonlinearity, even by the small value of uncertainty. The examination of the mass, inductance, and resistance uncertainties showed that the robustness parameter is able to handle them and to provide a robust controller. INDEX TERMS State feedback, robust control, coefficient diagram method, magnetic levitation, integral control.

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