A power quality enhanced grid voltage sensorless predictive direct power control for active front end rectifiers

Kumar, Amit; Srungavarapu, Gopalakrishna

doi:10.1177/0142331217732617

Cited by 9 publications

(9 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other main weakness of these control systems is a disability of operating in distorted conditions of the network. In recent years, predictive power control-based methods have been proposed to a wide range of power electronics converters used in various fields of industry (Chatterjee et al, 2018; Kumar and Srungavarapu, 2018; Nawaz et al, 2019). They have revealed a good performance in the converter control because of good dynamic response, less tracking error and strong robustness.…”

Section: Introductionmentioning

confidence: 99%

Dual-loop generalized predictive control method for two-phase three-wire railway active power quality controller

Kaleybar

Brenna

Foiadelli

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

One of the most challenging topics in electric railway networks (ERNs) is power quality (PQ) problems caused by single-phase feeding of time-varying and high-power locomotives. During previous years, many techniques and compensators have been offered to alleviate these problems. Railway active power quality controller (RAPQC) is considered as one of the most efficient approaches. Due to the time-variant, uncertainty and distorted features of ERNs, the controlling of RAPQCs has always been a substantial concern to experts. This paper presents, a new robust control system for two-phase three-wire RAPQC (ThRAPQC) based on generalized model predictive control integrated with modified instantaneous reactive power theory (GMPC-MIRP). A dual-loop balancing system has been adopted in the proposed control system to equalize the active powers of traction power substation (TPSS) adjacent feeders, compensate reactive powers and suppress harmonic simultaneously. The performance of the proposed method in comparison with the conventional Fryze-Buchholz-Depenbrock (FBD)-based current strategy together with hysteresis current controller (FBD-HCC) has been evaluated through the detailed simulations and Opal-RT 5600-based laboratory setup results. The fast response, high precision, lower fluctuation in reference current tracking and high capability of working in distorted conditions are the outstanding privileges of the proposed method that are confirmed by the output results.

show abstract

Section: Introductionmentioning

confidence: 99%

Dual-loop generalized predictive control method for two-phase three-wire railway active power quality controller

Kaleybar

Brenna

Foiadelli

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…To guarantee SOFC safe operation, the safe range fuel utilisation is from 0.7 to 0.9 (Wu et al, 2008), and the actuator saturation should be taken into account, which can affect the stability and performance of the SOFC system (Kumar and Srungavarapu, 2017). Nowadays, different control methods have been suggested for SOFC plants in the previous studies, most of these approaches focus on model predictive control (MPC), which is especially appropriate for constrained optimization.…”

Section: Introductionmentioning

confidence: 99%

Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

Abbaker

Wang

Tian

2019

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Solid oxide fuel cell (SOFC) plant is considered a most important type in the field of fuel cells, which gives control difficulties such as fuel flow constraints, load disturbance, system nonlinearities, and parameter uncertainties. However, due to these difficulties, the voltage control of SOFC plant is extremely difficult. In this paper, a new intelligent proportional integral-adaptive sliding mode control (iPI-ASMC) with anti-windup compensator is proposed to control the output voltage of SOFC plant to keep up with the rated voltage. The referred iPI-ASMC is made of three sub-components: (i) an extended state observer (ESO)-based-intelligent proportional-integral to estimate the unknown dynamic, (ii) an adaptive sliding mode control is added to compensate the estimation error of unknown dynamic, and (iii) an anti-windup compensator based on back-calculation is used to deal with saturation problem which is caused by input constraints. Moreover, the effectiveness and efficiency of the proposed iPI-ASMC strategy is demonstrated by comparing with some other approaches such as conventional proportional integral-derivative (PID) controller, intelligent proportional-integral (iPI) and fuzzy PID controller. Corresponding simulation results show that the proposed iPI-ASMC approach provides better dynamic responses and outperforms to compared methods in term of settling time, peak overshoots, integral absolute error (IAE), integral square error (ISE), and integral time absolute error (ITAE).

show abstract

“…In Bouafia et al, the action of control is performed using fuzzy logic inference systems in DPC stage. A new switching lookup table for DPC of three‐phase rectifier is proposed in Tlili et al The grid voltage sensorless deadbeat predictive‐based DPC is proposed for active front‐end rectifiers . However, DPC combination with Type‐2 neuro‐fuzzy controller (T2NFC) is not reported in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…A new switching lookup table for DPC of three-phase rectifier is proposed in Tlili et al 23 The grid voltage sensorless deadbeat predictive-based DPC is proposed for active front-end rectifiers. 24 However, DPC combination with Type-2 neuro-fuzzy controller (T2NFC) is not reported in the literature. Type-1 fuzzy logic controller (T1FLC) structures that are one of the intelligent controller structures have been successfully used in many applications.…”

Section: Introductionmentioning

confidence: 99%

Hardware implementation of type‐2 neuro‐fuzzy controller‐based direct power control for three‐phase active front‐end rectifiers

Açıkgöz

Kumar²,

Beiranvand

et al. 2019

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

Summary Simple implementation, robust response, good dynamic, and steady‐state performances are empowering direct power control (DPC) as an accepted control method in power electronic converters. One of the key converters are active front‐end rectifiers that are used in many applications. In this paper, type‐2 neuro‐fuzzy controller based DPC (T2NFC‐DPC) is designed for active front‐end rectifier. T2NFC uses an upper and lower bounds for membership functions and provides a better tool for defining uncertain systems and also neural networks help to improve the speed of convergence in tracking the reference signals. In the proposed method, error and change of error are used to train T2NFC‐DPC. The effectiveness of the proposed method is validated using experimental model. An experimental setup is developed using dSPACE 1104 control board in order to show the applicability of the proposed method. Experimental results show that T2NFC‐DPC outperforms against conventional proportional‐integral DPC (PI‐DPC) method.

show abstract

A power quality enhanced grid voltage sensorless predictive direct power control for active front end rectifiers

Cited by 9 publications

References 45 publications

Dual-loop generalized predictive control method for two-phase three-wire railway active power quality controller

Dual-loop generalized predictive control method for two-phase three-wire railway active power quality controller

Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

Hardware implementation of type‐2 neuro‐fuzzy controller‐based direct power control for three‐phase active front‐end rectifiers

Contact Info

Product

Resources

About