Filter-based control of an H-Bridge inverter with output LC filter

Mohebbi, Mohammad; Latham, Joseph; McIntyre, Michael L.; Rivera, Pablo R.

doi:10.23919/acc.2017.7963580

Cited by 3 publications

(4 citation statements)

References 31 publications

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“…Unlike the work presented in [45] which is developed for unknown system parameters, this work utilises the nominal values of the system parameters and compensates for parameter discrepancies which result in a significant improvement in the system performance. The output of this control scheme, in comparison with that presented in [45], converges to the desired trajectory with smaller controller gain values which results in a smaller chattering. Also, the proposed controller in this work has a better performance in terms of output voltage tracking error and total harmonics distortion (THD).…”

Section: Introductionmentioning

confidence: 99%

“…Also, the proposed control algorithm is robust against parameter discrepancy which in turn reduces the control sensitivity to the system parameters and compensates for parameter variation. Unlike the work presented in [45] which is developed for unknown system parameters, this work utilises the nominal values of the system parameters and compensates for parameter discrepancies which result in a significant improvement in the system performance. The output of this control scheme, in comparison with that presented in [45], converges to the desired trajectory with smaller controller gain values which results in a smaller chattering.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless control of an H‐bridge inverter with output inductor‐capacitor filter

Mohebbi

McIntyre

Latham

2018

IET Power Electronics

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This study presents a filter-based control scheme for an H-bridge inverter with an output inductor-capacitor filter. This approach relies only on a single output voltage measurement to reduce the system cost as well as measurement noise and disturbance injected by output current and/or inductor current measurements. Also, the proposed control algorithm is robust against parameter discrepancy. A Lyapunov stability analysis is performed to demonstrate the control objective is met and that all signals in the closed loop system are stable. Experimental results demonstrate excellent voltage tracking, insensitivity to the load and system parameter variations, and low output voltage distortion as well as the stability of the system under both linear and non-linear loads.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensorless control of an H‐bridge inverter with output inductor‐capacitor filter

Mohebbi

McIntyre

Latham

2018

IET Power Electronics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also, the proposed control algorithm is robust against parameter discrepancy which in turn reduces the control sensitivity to the system parameters andcompensates for parameter variation. Unlike the work presented in the previous chapter [72] which is developed for unknown system parameters, this work utilizes the nominalvalues of the system parameters and compensate for parameter discrepancies which results in a significant improvement in the system performance. A Lyapunov stability analysis proves that the sinusoidal voltage tracking objective is achieved by the controller with all signals remaining bounded.…”

Section: Resultsmentioning

confidence: 99%

“…This chapter presents a filter-based control scheme for an H-Bridge inverter with output LC filter [68]. This approach relies only on a single output voltage measurement to reduce the system cost as well as measurement noise and disturbance injected by output current and/or inductor current measurements.…”

Section: Filter-based Controller With Unknown System Parametersmentioning

confidence: 99%

Control of power electronic interfaces in distributed generation.

Mohebbi¹

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Grid-connected photovoltaic systems based on nonlinear control.

Rivera¹

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Solar energy, considered as abundant and clean renewable energy source, has been utilized for a variety of applications such as generation of electricity for low and medium power. Nowadays, due to the high-scale penetration of photovoltaic systems, reliable and efficient grid-connected photovoltaic (PV) systems using the advances of power electronics and control system technology are desirable. Thus, single-stage gridconnected photovoltaic systems, have gained attention, especially in low voltage applications. However, PV systems exhibit nonlinear behavior due to the intrinsic features of the PV cell and nonlinear switching functions of the inverter that could negatively affect the performance of the system if they are not adequately compensated for. In this dissertation, using the general structure for the synchronous dq0 frame, a single-stage three-phase grid-connected photovoltaic inverter with a nonlinear control strategy is developed to track the maximum power regardless of the atmospheric conditions and to control the active and reactive power without the necessity of an additional power converter. A novel trajectory of the reference current is obtained online taking into account the dynamics of the DC link capacitor and the switching function of the inverter. v Furthermore, due to increased penetration of low-power single-phase PV systems in residential applications, a single-stage single-phase grid-connected PV system with a nonlinear control strategy is proposed in this dissertation. Unlike to the three-phase system, the single-phase system includes a novel method to mitigate the double linefrequency current ripple of the PV array, which is the major drawback of the single-phase PV inverter. Moreover, based on the preceded work, the nonlinear controller is combined with adaptive control to estimate the unknown disturbances that physically could appear in the circuit and affect the performance of the system. Additionally, in this study, the stability of the system and boundedness of signals of the closed-loop system are demonstrated by Lyapunov stability analysis for both the three-phase system and the single-phase system respectively. Simulation results show the effectiveness and robustness of the proposed controllers to track the maximum power and to control the active and reactive power to sudden changes in the atmospheric conditions and changes in the load.

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Filter-based control of an H-Bridge inverter with output LC filter

Cited by 3 publications

References 31 publications

Sensorless control of an H‐bridge inverter with output inductor‐capacitor filter

Sensorless control of an H‐bridge inverter with output inductor‐capacitor filter

Control of power electronic interfaces in distributed generation.

Grid-connected photovoltaic systems based on nonlinear control.

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