Closed-loop identification of fractional-order models using FOMCON toolbox for MATLAB

Tepljakov, Aleksei; Petlenkov, Eduard; Belikov, Juri

doi:10.1109/bec.2014.7320594

Cited by 43 publications

(46 citation statements)

References 7 publications

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“…The output feedback of the FOPI controller,

K_{PI}

, has the following form:

K_{PI} ()(, s) = k_{p} + k_{i} \frac{1}{s^{λ}}

where

k_{p}

and

k_{i}

are the PI gains, respectively, and \lambda is the fractional integrator order, which provides an extra degree of freedom. The FOPI controller is implemented using FOMCON toolbox [41]. For the EV understudy, the controller tuning is performed to obtain high performance in setpoint tracking, while considering the battery ageing.…”

Section: Fractional‐order Pi Controller Designmentioning

confidence: 99%

Optimisation of fractional‐order PI controller for bidirectional quasi‐Z‐source inverter used for electric traction system

Mande

Blondin

Trovão

2020

IET Electrical Systems in Transportation

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“…The output feedback of the FOPI controller,

K_{PI}

, has the following form:

K_{PI} ()(, s) = k_{p} + k_{i} \frac{1}{s^{λ}}

where

k_{p}

and

k_{i}

Section: Fractional‐order Pi Controller Designmentioning

confidence: 99%

Optimisation of fractional‐order PI controller for bidirectional quasi‐Z‐source inverter used for electric traction system

Mande

Blondin

Trovão

2020

IET Electrical Systems in Transportation

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“…The FOMCON Toolbox developed by A. Tepljakov, et al is managed for the simulations of this example [39,40].…”

Section: Examplementioning

confidence: 99%

Universal Design Equations for Fractional Order PID Control of Plants with Time Delay

Köksal

2019

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Some all-purpose design equations are derived for designing fractional order controllers for integer order plants with time delay. The results combine many design techniques appearing in the literature. In addition to plotting the global stability boundaries, they can be used to achieve desired gain and phase margins with a flat phase response near the gain cross over frequency. So, robustness can also be guaranteed. Further, satisfactory output disturbance and high frequency noise rejections can be realizable. An example is treated to make connections with the already existing results in the literature, which proves the usability of the obtained design equations.

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“…2 Still, when the AC induction motor (ACIM) is subjected to extreme load inertia on the shaft during running conditions, the best achievable controller performance using integer-order system model-based tuning methods is no longer sufficient. 3 Every hardware system in the real world possesses inherent fractionality in its nature. 4 It is necessary to model those fractional details to design the more precise control techniques.…”

Section: Introductionmentioning

confidence: 99%

“…This much reach for integer‐order plant models and controllers is solely because of their simple implementation and adaptable characteristics 2 . Still, when the AC induction motor (ACIM) is subjected to extreme load inertia on the shaft during running conditions, the best achievable controller performance using integer‐order system model‐based tuning methods is no longer sufficient 3 . Every hardware system in the real world possesses inherent fractionality in its nature 4 .…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of a speed controller for fractional‐order‐modeled voltage‐source‐inverter‐fed induction motor drive

Adigintla

Aware

2022

Circuit Theory & Apps

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Summary This paper presents the fractional‐order voltage‐source‐inverter‐controlled induction machine (FO‐VSI‐IM) model extraction and integration to improve the closed‐loop speed control performance of variable speed drives. In the operating range of variable speed drive, it is susceptible to load disturbance and speed tracking error. This paper provides the practical approach to obtain the fractional‐order model of VSI‐fed induction motor (IM) drive by using PWM signal injection technique. The injected PWM signals and speed encoder response signals are recorded using the dSPACE 1104 platform. This model is used in constructing the closed‐loop speed control of VSI‐IM with designed integer‐order PI speed controller. The comparative performance is evaluated for FO‐VSI‐IM and integer‐order voltage‐source‐inverter‐controlled induction machine (IO‐VSI‐IM) with feed‐forward gain variations and load disturbances. It is observed that the robust speed tracking capability with the controller designed using the FO‐VSI‐IM model over the controller with IO‐VSI‐IM model under load disturbances. The improvement in speed tracking with less control effort in the FO‐VSI‐IM model is advantageous in field‐oriented control (FOC) drives.

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Closed-loop identification of fractional-order models using FOMCON toolbox for MATLAB

Cited by 43 publications

References 7 publications

Optimisation of fractional‐order PI controller for bidirectional quasi‐Z‐source inverter used for electric traction system

Optimisation of fractional‐order PI controller for bidirectional quasi‐Z‐source inverter used for electric traction system

Universal Design Equations for Fractional Order PID Control of Plants with Time Delay

Design and analysis of a speed controller for fractional‐order‐modeled voltage‐source‐inverter‐fed induction motor drive

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