Multi-Loop model reference adaptive control of fractional-order PID control systems

Alagöz, Barış Baykant; Tepljakov, Aleksei; Petlenkov, Eduard; Yeroğlu, Celaleddin

doi:10.1109/tsp.2017.8076078

Cited by 8 publications

(22 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, a change in control performance of inner loop can be easily detected by observing model error signal and then this mismatch can be tolerated by contributions of the MIT rule. Multi-loop control architectures have been addressed previously to improve certain weaknesses of conventional PID systems, and related works indicates potentials of multi-loop control structures to improve control performance [28][29][30][31][32]. Majority of these studies aim retuning of PID controller coefficients according to the model mismatch error.…”

Section: A Preliminary Knowledge For Application Of Mrac-pid Structurementioning

confidence: 99%

Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

Alagöz¹,

Kavuran²,

Ateş³

et al. 2019

Balkan Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

This study demonstrates an application of multiloop Model Reference Adaptive Control (MRAC) structure for enhancement of fault tolerance performance of closed-loop PID control systems. The presented multi-loop MRAC-PID control structure can be used to transform a conventional PID control system to an adaptive control system by combining an outer adaptation loop. This study shows that the proposed control structure can improve fault tolerance and fault detection performance of the existing closed-loop PID control systems without modifying any coefficients of PID controllers, and this asset is very useful for increasing robust control performance of the existing industrial control systems. This advantage originates from the reference input shaping technique that is implemented to combine adaptation and control loops. Numerical and experimental studies are presented to illustrate an application of the MRAC-PID control structure for rotor control applications.

show abstract

Section: A Preliminary Knowledge For Application Of Mrac-pid Structurementioning

confidence: 99%

Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

Alagöz¹,

Kavuran²,

Ateş³

et al. 2019

Balkan Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

show abstract

“…According to the fractional calculus of electrical components, admittance and impedance of the fractional‐order capacitor and inductor are shown in Equations ().

Y_{C}' ((), ω) = ω^{αc} C' e \frac{j α_{c} π}{2} = ω^{αc} C' \cos \frac{j α_{c} π}{2} + j ω^{αc} C' \sin \frac{j α_{c} π}{2}

Z_{L}' ((), ω) = ω^{α_{L}} L' e \frac{j α_{L} π}{2} = ω^{α_{L}} L' \cos \frac{j α_{L} π}{2} + j ω^{α_{L}} L' \sin \frac{j α_{L} π}{2}

…”

Section: Fractional‐order Model Of Bcb‐si Transmission Linesmentioning

confidence: 99%

“…Recently, fractional‐order calculus has been studied as a promising field of science that could provide more accurate and authentic modeling of the engineering physical phenomenon. Various applications, such as circuit theory, mechanics, control, electromagnetics, and bioengineering, are benefiting from such work. The fractional point of view is also appropriate for T‐Line modeling.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Si‐BCB transmission line at millimeter‐wave frequency by compact fractional‐order equivalent circuit model

Shi

Qiu

Huang

et al. 2019

Int J RF Microw Comput Aided Eng

View full text Add to dashboard Cite

In this article, fractional-order calculus is introduced to characterize Si-BCB transmission line up to millimeter-wave frequency region. Direct calculation method is employed to build this compact fractional-order equivalent circuit model. Measured results have confirmed that the proposed fractional-order model is capable of accurately describing the behavior of BCB-Si T-Line over a large range of frequencies up to 110 GHz.

show abstract

“…The topic of multi-loop control involves a wide variety of control systems that employ multi-loop control structures, including cascaded control loops [11,12], multi-input multi-output control systems [13], use of additional control loops for performance improvements [14,15], direct model reference control based on output matching [16,17], direct model reference adaptive control with online controller tuning [5][6][7][8][9][10], model reference adaptive control based on Massachusetts Institute of Technology (MIT) rule [18][19][20][21][22][23], backstepping-based adaptive PID control [24], and hierarchical ML-MR adaptive control [25][26][27][28]. The current study investigates several configurations of hierarchical ML-MR adaptive control structures.…”

Section: Introductionmentioning

confidence: 99%

“…Hierarchical ML-MR adaptive PID control has been investigated, and certain benefits of this structure related to fault tolerance [25] and disturbance rejection [26] have been discussed. This structure can be easily applied to the existing closed loop PID control systems, thus transforming the PID control systems into model reference adaptive PID control systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluations

et al. 2020

Self Cite

View full text Add to dashboard Cite

Due to unpredictable and fluctuating conditions in real-world control system applications, disturbance rejection is a substantial factor in robust control performance. The inherent disturbance rejection capacity of classical closed loop control systems is limited, and an increase in disturbance rejection performance of single-loop control systems affects the set-point control performance. Multi-loop control structures, which involve model reference control loops, can enhance the inherent disturbance rejection capacity of classical control loops without degrading set-point control performance; while the classical closed Proportional Integral Derivative (PID) control loop deals with stability and set-point control, the additional model reference control loop performs disturbance rejection control. This adaptive disturbance rejection, which does not influence set-point control performance, is achieved by selecting reference models as transfer functions of real control systems. This study investigates six types of multi-loop model reference (ML-MR) control structures for PID control loops and presents straightforward design schemes to enhance the disturbance rejection control performance of existing PID control loops. For this purpose, linear and non-linear ML-MR control structures are introduced, and their control performance improvements and certain inherent drawbacks of these structures are discussed. Design examples demonstrate the benefits of the ML-MR control structures for disturbance rejection performance improvement of PID control loops without severely deteriorating their set-point performance.

show abstract

Multi-Loop model reference adaptive control of fractional-order PID control systems

Cited by 8 publications

References 8 publications

Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

Characterization of Si‐BCB transmission line at millimeter‐wave frequency by compact fractional‐order equivalent circuit model

Multi-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluations

Contact Info

Product

Resources

About