Fractional Order Control of Power Electronic Converters in Industrial Drives and Renewable Energy Systems: A Review

Warrier, Preeti; Shah, Pritesh

doi:10.1109/access.2021.3073033

Cited by 60 publications

(32 citation statements)

References 144 publications

(163 reference statements)

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“…The use of FOPID controllers should be properly justified by superior performance or at least the same efficiency as the conventional PODCs. A Technology Readiness Level (TRL) may have to be established for an industry-implementation-ready FOPID controller [112,113]. Sometimes, the variation in FOPID controller parameters may result in instability, and hence the sensitivity of this type of controller to variations in the controller parameters should be studied.…”

Section: Discussionmentioning

confidence: 99%

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

et al. 2021

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In recent decades, various types of control techniques have been proposed for use in power systems. Among them, the use of a proportional–integral–derivative (PID) controller is widely recognized as an effective technique. The generalized type of this controller is the fractional-order PID (FOPID) controller. This type of controller provides a wider range of stability area due to the fractional orders of integrals and derivatives. These types of controllers have been significantly considered as a new approach in power engineering that can enhance the operation and stability of power systems. This paper represents a comprehensive overview of the FOPID controller and its applications in modern power systems for enhancing low-frequency oscillation (LFO) damping. In addition, the performance of this type of controller has been evaluated in a benchmark test system. It can be a driver for the development of FOPID controller applications in modern power systems. Investigation of different pieces of research shows that FOPID controllers, as robust controllers, can play an efficient role in modern power systems.

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Section: Discussionmentioning

confidence: 99%

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

et al. 2021

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“…10 Axtell and Bise 11 have analyzed the non-integer-order plant models in the field of control engineering. In robotics, the fractional derivative issued in second-generation CRONE vehicle suspension, 12,13 environment modeling, that is, fictive coulombian field fractal description of rough terrains. The fractional calculus is not a new concept, but it has the potential to create a unique attempt in the motion control industry.…”

Section: Introductionmentioning

confidence: 99%

“…After two decades of academic research on the FO controls, some performance benefits for the industrial community have been achieved. The major contributions are highlighted here 13,26 T A B L E 1 Some of the parameter identification techniques in the literature…”

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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“…Such controllers have been used to control various DC-DC converters like the buck, boost, buck-boost converters for various applications [18][19][20][21]. A review of the applications of fractional control in various power electronic systems is given in [22].…”

Section: Introductionmentioning

confidence: 99%

Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm

Warrier

Shah

2021

ASI

Self Cite

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The control of power converters is difficult due to their non-linear nature and, hence, the quest for smart and efficient controllers is continuous and ongoing. Fractional-order controllers have demonstrated superior performance in power electronic systems in recent years. However, it is a challenge to attain optimal parameters of the fractional-order controller for such types of systems. This article describes the optimal design of a fractional order PID (FOPID) controller for a buck converter using the cohort intelligence (CI) optimization approach. The CI is an artificial intelligence-based socio-inspired meta-heuristic algorithm, which has been inspired by the behavior of a group of candidates called a cohort. The FOPID controller parameters are designed for the minimization of various performance indices, with more emphasis on the integral squared error (ISE) performance index. The FOPID controller shows faster transient and dynamic response characteristics in comparison to the conventional PID controller. Comparison of the proposed method with different optimization techniques like the GA, PSO, ABC, and SA shows good results in lesser computational time. Hence the CI method can be effectively used for the optimal tuning of FOPID controllers, as it gives comparable results to other optimization algorithms at a much faster rate. Such controllers can be optimized for multiple objectives and used in the control of various power converters giving rise to more efficient systems catering to the Industry 4.0 standards.

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Fractional Order Control of Power Electronic Converters in Industrial Drives and Renewable Energy Systems: A Review

Cited by 60 publications

References 144 publications

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

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

Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm

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