2020
DOI: 10.3390/a13080201
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A NARX Model Reference Adaptive Control Scheme: Improved Disturbance Rejection Fractional-Order PID Control of an Experimental Magnetic Levitation System

Abstract: Real control systems require robust control performance to deal with unpredictable and altering operating conditions of real-world systems. Improvement of disturbance rejection control performance should be considered as one of the essential control objectives in practical control system design tasks. This study presents a multi-loop Model Reference Adaptive Control (MRAC) scheme that leverages a nonlinear autoregressive neural network with external inputs (NARX) model in as the reference model. Authors observ… Show more

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Cited by 16 publications
(5 citation statements)
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References 46 publications
(85 reference statements)
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“…As shown in Figure 4, MRAC system has two loops. The first loop is a normal or inner loop, which is an ordinary loop consisting of a plant and nominal nonadaptive controller, that is used to track the set point and stabilize the system [48]. The second loop is parameter adjustment or outer loop that adjusts controller parameters in such a way that driving reference model response tracking error toward zero.…”
Section: ) Conventional Mrac Design Of 2 Nd Order Systemmentioning
confidence: 99%
“…As shown in Figure 4, MRAC system has two loops. The first loop is a normal or inner loop, which is an ordinary loop consisting of a plant and nominal nonadaptive controller, that is used to track the set point and stabilize the system [48]. The second loop is parameter adjustment or outer loop that adjusts controller parameters in such a way that driving reference model response tracking error toward zero.…”
Section: ) Conventional Mrac Design Of 2 Nd Order Systemmentioning
confidence: 99%
“…Using one hidden layer is conventional in working with artificial neural networks [ 31 ] unless problem complexity necessitates adding one or more hidden layers [ 32 ]. The number of neurons is selected based on some trial and error.…”
Section: Simulationmentioning
confidence: 99%
“…With the rapid development of modern society, the various control methods have been gradually applied to design of the magnetic levitation control systems. For the control of the magnetic levitation systems, analog PID control is more common in (Alimohammadi et al, 2020) and Mughees and Mohsin (2020). Of course, the other control methods of the maglev systems also can achieve different control objectives.…”
Section: Introductionmentioning
confidence: 99%