Design and Performance Evaluation of Fuzzy Variable Fractional-Order [PI]λDµ Controller for a Class of First-Order Delay-Time Systems

Kanagaraj, N.

doi:10.24846/v28i4y201908

Cited by 13 publications

(8 citation statements)

References 13 publications

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“…The variable factor β will modify the error input of the FLC by which the variable tracking step size is achieved. The concept to use the variable factor for the proposed method is developed from the fractional calculus [44][45][46]. The general fractional order differentiator can be expressed using the theory of fractional calculus as [47].…”

Section: Teg Modelmentioning

confidence: 99%

Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement

Kanagaraj¹

2022

Computer Systems Science and Engineering

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In this paper, the hybrid photovoltaic-thermoelectric generator (PV-TEG) combined dynamic voltage restorer (DVR) system is proposed for the power quality disturbances compensation in a single-phase distribution system. The stable and precise level of input voltage is essential for the smooth and trouble-free operation of the electrically sensitive loads which are connected at the utility side to avoid system malfunctions. In this context, the hybrid PV-TEG energy module combined DVR system is proposed in this paper. With the support of the hybrid energy module, the DVR will perform the power quality disturbances compensation effectively with needed voltage and /or power. In the proposed system, the PV and TEG energy sources are connected electrically in series to produce adequate voltage for the DVR operation and the fractional factor-based variable incremental conduction (FFVINC) maximum power point tracking (MPPT) control algorithm is employed to extract the possible maximum power from the PV array. The intelligent fuzzy logic controller (FLC) is chosen for implementing the MPPT control algorithm. The half-bridge voltage source inverter (VSI) circuit and in-phase voltage compensation technique are used in the DVR for better power quality disturbances compensation. The performance and usefulness of the proposed DVR system are investigated by an extensive simulation study with four different modes of operation, the study results are confirmed that the proposed system promptly identifies the power quality disturbances for compensation. Moreover, the investigation proved that the combined PV and TEG energy module can provide better energy efficiency in converting solar irradiation into electricity.

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Section: Teg Modelmentioning

confidence: 99%

Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement

Kanagaraj¹

2022

Computer Systems Science and Engineering

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“…Therefore, the fractional factor α can be applied in the conventional MPP tracking scheme to enhance the controller performance. The concept of the fractional order control scheme has been successfully used for different applications in recent years [28][29][30][31].…”

Section: The Proposed Foflc-based Mppt Control Techniquementioning

confidence: 99%

Photovoltaic and Thermoelectric Generator Combined Hybrid Energy System with an Enhanced Maximum Power Point Tracking Technique for Higher Energy Conversion Efficiency

Kanagaraj

2021

Sustainability

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In this paper, the design and performance investigation of the hybrid photovoltaic–thermoelectric generator (PV–TEG) system with an enhanced fractional order fuzzy logic controller (FOFLC)-based maximum power point tracking (MPPT) technique is presented. A control strategy of the variable incremental conduction (INC) method is employed using FOFLC for the MPPT control technique to efficiently harvest the maximum power from the PV module. The fractional factor α used in the MPPT control algorithm is a supporting fuzzy logic controller (FLC) for the accurate tracking of the maximum power point (MPP) and to maintain the constant output after reaching the MPP. In the proposed system configuration, the TEG is mounted with the PV panel for generating the extra electrical power using the waste heat energy produced on the PV panel due to the incident solar irradiation. The PV and TEG are connected electrically in series to increase output voltage level and thereby improve the power output. The hybrid energy module has better energy conversion efficiency when compared to the standalone PV array. The performance of the proposed MPPT technique is studied for the PV–TEG hybrid energy module under various thermal and electrical operating conditions using a MATLAB software-based simulation. The results of the FOFLC-based MPPT technique are compared with the conventional perturb and observe (P&O) and FLC-based P&O methods. The proposed MPPT technique confirms its effectiveness in extracting the maximum power in terms of speed and accuracy. Moreover, the PV and TEG combined system provides higher energy efficiency than the individual PV module.

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“…Recently, many types of FOC methods have been proposed and investigated for different control applications. The FOC scheme consists of a non-integer order, which is preferred over the integer order control method due to its advantages [38]. When compared to integer-order control, the FOC provides more flexibility in design and exhibit better results in terms of robustness [39,40].…”

Section: Fractional Order Controlmentioning

confidence: 99%

A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator

2020

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Thermoelectric generation technology is considered to be one of the viable methods to convert waste heat energy directly into electricity. The utilization of this technology has been impeded due to low energy conversion efficiency. This paper aims to improve the energy conversion efficiency of the thermoelectric generator (TEG) model with a novel maximum power point tracking (MPPT) technique. A variable fractional order fuzzy logic controller (VFOFLC)-based MPPT technique is proposed in the present work in which the operating point of the TEG is moved quickly towards an optimal position to increase the energy harvesting. The fraction order term α, introduced in the MPPT algorithm, will expand or contract the input domain of the fuzzy logic controller (FLC to shorten the tracking time and maintain a steady-state output around the maximum power point (MPP). The performance of the proposed MPPT technique was verified with the TEG model by simulation using MATLAB /SIMULINK software. Then, the overall performance of the VFOFLC-based MPPT technique was analyzed and compared with Perturb and observe (P&O) and incremental resistance (INR)-based MPPT techniques. The obtained results confirm that the proposed MPPT technique can improve the energy conversion efficiency of the TEG by harvesting the maximum power within a shorter time and maintaining a steady-state output when compared to other techniques.

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Design and Performance Evaluation of Fuzzy Variable Fractional-Order [PI]λDµ Controller for a Class of First-Order Delay-Time Systems

Cited by 13 publications

References 13 publications

Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement

Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement

Photovoltaic and Thermoelectric Generator Combined Hybrid Energy System with an Enhanced Maximum Power Point Tracking Technique for Higher Energy Conversion Efficiency

A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator

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