Design of a MRAC-Based Fractional order PI<sup>λ</sup>D<sup>μ</sup> Regulator for DC Motor Speed Control

Keziz, Bouziane; Ladaci, Samir; Djouambi, Abdelbaki

doi:10.1109/cistem.2018.8613553

Cited by 7 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stability and optimal control are ensured by an inner control loop, which is commonly an optimal closed-loop control system. Several fractional-order adaptive control approaches have been proposed to improve control performance of fractional order MRAC systems such as a composite model reference adaptive control approach using tracing and prediction errors [34], fractional adaptive controller method with controller parameter adjustment for automatic voltage regulator [35], MRAC with Bode ideal loop reference model [36].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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 observed that the performance of multi-loop MRAC-fractional-order proportional integral derivative (FOPID) control with MIT rule largely depends on the capability of the reference model to represent leading closed-loop dynamics of the experimental ML system. As such, the NARX model is used to represent disturbance-free dynamical behavior of PID control loop. It is remarkable that the obtained reference model is independent of the tuning of other control loops in the control system. The multi-loop MRAC-FOPID control structure detects impacts of disturbance incidents on control performance of the closed-loop FOPID control system and adapts the response of the FOPID control system to reduce the negative effects of the additive input disturbance. This multi-loop control structure deploys two specialized control loops: an inner loop, which is the closed-loop FOPID control system for stability and set-point control, and an outer loop, which involves a NARX reference model and an MIT rule to increase the adaptation ability of the system. Thus, the two-loop MRAC structure allows improvement of disturbance rejection performance without deteriorating precise set-point control and stability characteristics of the FOPID control loop. This is an important benefit of this control structure. To demonstrate disturbance rejection performance improvements of the proposed multi-loop MRAC-FOPID control with NARX model, an experimental study is conducted for disturbance rejection control of magnetic levitation test setup in the laboratory. Simulation and experimental results indicate an improvement of disturbance rejection performance.

show abstract

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

show abstract

Fractional Order Controllers for Twin Rotor Aerodynamical System

Sangeorzan,

Dulf

2024

Springer Proceedings in Mathematics &Amp; Statistics

View full text Add to dashboard Cite

A new fractional order controller tuning method based on Bode’s ideal transfer function

Keziz

Djouambi

Ladaci

2020

Int. J. Dynam. Control

View full text Add to dashboard Cite

Design of a MRAC-Based Fractional order PI^λD^μ Regulator for DC Motor Speed Control

Cited by 7 publications

References 12 publications

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

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

Fractional Order Controllers for Twin Rotor Aerodynamical System

A new fractional order controller tuning method based on Bode’s ideal transfer function

Contact Info

Product

Resources

About

Design of a MRAC-Based Fractional order PIλDμ Regulator for DC Motor Speed Control

Cited by 7 publications

References 12 publications

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

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

Fractional Order Controllers for Twin Rotor Aerodynamical System

A new fractional order controller tuning method based on Bode’s ideal transfer function

Contact Info

Product

Resources

About

Design of a MRAC-Based Fractional order PI^λD^μ Regulator for DC Motor Speed Control