Solar PV Array Fed Self-Sensing Control of PMSM Drive With Robust Adaptive Hybrid SOGI Based Flux Observer for Water Pumping

Kashif, Mohd.; Murshid, Shadab; Singh, Bhim

doi:10.1109/tie.2020.3003656

Cited by 19 publications

(5 citation statements)

References 29 publications

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“…Not very many papers on the use of observers for solar cell (photovoltaic) systems can be found in the engineering literature. Among the interesting ones are the papers [54][55][56][57][58][59][60][61][62][63]. One of the early papers on this topic [54] uses a sliding-mode observer to estimate the solar array-produced current in a grid-connected photovoltaic system.…”

Section: Observers For Solar Cell Systemsmentioning

confidence: 99%

“…In [60], a robust adaptive hybrid second-order integrator-based rotor flux observer was designed for self-sensing control of a solar array-fed permanent magnet synchronous motor drive used for a water pump. Reference [61] designed a sliding-mode observer for fault detection in a photovoltaic system connected to a microgrid.…”

Section: Observers For Solar Cell Systemsmentioning

confidence: 99%

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Linear, Nonlinear, and Distributed-Parameter Observers Used for (Renewable) Energy Processes and Systems—An Overview

Radisavljevic-Gajic,

Karagiannis,

Gajic

2024

Energies

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Full- and reduced-order observers have been used in many engineering applications, particularly for energy systems. Applications of observers to energy systems are twofold: (1) the use of observed variables of dynamic systems for the purpose of feedback control and (2) the use of observers in their own right to observe (estimate) state variables of particular energy processes and systems. In addition to the classical Luenberger-type observers, we will review some papers on functional, fractional, and disturbance observers, as well as sliding-mode observers used for energy systems. Observers have been applied to energy systems in both continuous and discrete time domains and in both deterministic and stochastic problem formulations to observe (estimate) state variables over either finite or infinite time (steady-state) intervals. This overview paper will provide a detailed overview of observers used for linear and linearized mathematical models of energy systems and review the most important and most recent papers on the use of observers for nonlinear lumped (concentrated)-parameter systems. The emphasis will be on applications of observers to renewable energy systems, such as fuel cells, batteries, solar cells, and wind turbines. In addition, we will present recent research results on the use of observers for distributed-parameter systems and comment on their actual and potential applications in energy processes and systems. Due to the large number of papers that have been published on this topic, we will concentrate our attention mostly on papers published in high-quality journals in recent years, mostly in the past decade.

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Section: Observers For Solar Cell Systemsmentioning

confidence: 99%

Section: Observers For Solar Cell Systemsmentioning

confidence: 99%

Linear, Nonlinear, and Distributed-Parameter Observers Used for (Renewable) Energy Processes and Systems—An Overview

Radisavljevic-Gajic,

Karagiannis,

Gajic

2024

Energies

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“…Based on ( 22)-( 27), the rotor flux observer using the ROGI-FLL is shown in Figure 6. The estimated rotor flux angle θ e and rotor speed ω r can be obtained as θ e = arctan λ qr s λ dr s (28) ω r = ω e − ω sl (29) where ω e is the estimated synchronous speed and ω sl is the estimated slip speed given by Theoretically, ω e in ( 29) can be determined by taking the derivative of θ e . However, with the utilization of the arctangent function in (28), θ e can be changed suddenly from π to −π, and this can cause spikes in ω e .…”

Section: Rogi-fll For Rotor Flux Linkage Estimationmentioning

confidence: 99%

“…In recent times, the second-order generalized integrator (SOGI)-frequency-locked loop (FLL)-based filter with its significant capability to reject high-frequency components without inducing phase shift and amplitude attenuation has gained increasing attention [24]. This configuration has found extensive applications in both grid-connected [25][26][27] and machine-control systems [28][29][30]. It is worth mentioning that the SOGI-FLL-based filter can yield the in-phase and quadrature components of its input in steady-state operations.…”

Section: Introductionmentioning

confidence: 99%

A Modified Reduced-Order Generalized Integrator–Frequency-Locked Loop-Based Sensorless Vector Control Scheme Including the Maximum Power Point Tracking Algorithm for Grid-Connected Squirrel-Cage Induction Generator Wind Turbine Systems

Pham,

Nguyen

2024

Inventions

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In this paper, an improved speed sensorless control method including the maximum power point tracking (MPPT) algorithm for grid-connected squirrel-cage induction generator (SCIG) wind turbine systems using modified reduced-order generalized integrator (ROGI)–frequency-locked loop (FLL) with the DC offset compensation capability is proposed. The rotor flux linkages are estimated by the modified ROGI-FLL-based observer, of which the inputs are d-q axis rotor EMFs, and hence the position of rotor flux linkage can be obtained directly based on these estimated flux linkages using the arc tangent function. The DC offset in the estimated rotor flux linkages, which can cause oscillations in estimated rotor speed, leading to oscillations in SCIG stator active power due to power signal feedback (PSF)-MPPT algorithm, can be significantly reduced using the DC offset compensators included in modified ROGI-FLL structure. Moreover, the negative effects of high-frequency components on the performance of the rotor flux linkage estimation can be remarkably mitigated owing to the excellent high-frequency component rejection capability of ROGI. The dynamic response analysis of the modified ROGI-FLL with DC offset compensators is provided as well. The feasibility of the proposed method has been demonstrated in comparison with dual SOGI-FLL with DC offset compensator-based existing method.

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“…Most of these MPPT algorithms cannot strictly analyze the convergence and stability, or cannot quickly track the maximum power point, resulting in the reduction of output power. Sliding mode reaching law (SMRL) is simple and easy to design, and is robust to parameter changes and external disturbances in smooth motion [ 10 , 11 ]; many related SMRL applications have been published in the control of solar power generation systems [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. However, in practice, the solar system controlled by the SMRL is affected by uncertainty, the system state convergence time is not limited, and steady-state errors will occur, which will affect the stability, convergence, and performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Study and Implementation of a High-Quality True Sine Wave DC-to-AC Inverter for Solar Power Generation Systems

Chang

et al. 2022

Micromachines

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True sine wave DC-to-AC inverters are becoming more and more important in solar power generation in order to raise the system’s efficiency. A high-quality true sine wave DC-to-AC inverter can be built with a robust intelligent control method. This robust intelligent control method is comprised of improved sliding mode reaching law (ISMRL) and particle swarm optimization (PSO)—catfish effect (CE). The sliding mode reaching law is robust and insensitive to parameter variations and external disturbances. However, it has infinite system-state convergence times and steady-state errors. In addition, solar panels are often affected by partial shading, causing the output power–voltage characteristic curve to be multi-peaked. Such a situation causes misjudgment of the maximum power point tracking with conventional algorithms, which can neither obtain the global extremes nor establish high conversion efficiency. Therefore, this paper proposes an ISMRL based on PSO-CE applied to the tracking of maximum power in the case of partial shading of a solar power generation system. The ISMRL guarantees quick terminable time convergence, making it well-suited for digital implementation. In this paper, PSO-CE is used to find the global best solution of ISMRL, rejecting steady-state errors, slow convergence, and premature trapping in local optimums. Simulation and experimental results are verified using digital implementation based on a Texas Instruments digital signal processor to produce more accurate and better tracking control of true sine wave DC-to-AC inverter-based solar power generation systems.

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Solar PV Array Fed Self-Sensing Control of PMSM Drive With Robust Adaptive Hybrid SOGI Based Flux Observer for Water Pumping

Cited by 19 publications

References 29 publications

Linear, Nonlinear, and Distributed-Parameter Observers Used for (Renewable) Energy Processes and Systems—An Overview

Linear, Nonlinear, and Distributed-Parameter Observers Used for (Renewable) Energy Processes and Systems—An Overview

A Modified Reduced-Order Generalized Integrator–Frequency-Locked Loop-Based Sensorless Vector Control Scheme Including the Maximum Power Point Tracking Algorithm for Grid-Connected Squirrel-Cage Induction Generator Wind Turbine Systems

Study and Implementation of a High-Quality True Sine Wave DC-to-AC Inverter for Solar Power Generation Systems

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