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dc.contributor.authorErrouissi, R.
dc.contributor.authorMuyeen, S.M.
dc.contributor.authorAl-Durra, A.
dc.contributor.authorLeng, S.
dc.identifier.citationErrouissi, R. and Muyeen, S.M. and Al-Durra, A. and Leng, S. 2016. Experimental Validation of a Robust Continuous Nonlinear Model Predictive Control Based Grid-Interlinked Photovoltaic Inverter. IEEE Transactions on Industrial Electronics. 63 (7): pp. 4495-4505.

This paper presents a robust continuous nonlinear model predictive control (CNMPC) for a grid-connected photovoltaic (PV) inverter system. The objective of the proposed approach is to control the power exchange between the grid and a PV system, while achieving unity power factor operation. As the continuous nonlinear MPC cannot completely remove the steady-state error in the presence of disturbances, the nonlinear disturbance observer-based control is adopted to estimate the offset caused by parametric uncertainties and external perturbation. The stability of the closed-loop system under both nonlinear predictive control and disturbance observer is ensured by convergence of the output-tracking error to the origin. The proposed control strategy is verified using a complete laboratory-scale PV test-bed system consisting of a PV emulator, a boost converter, and a grid-tied inverter. High performance with respect to dc-link voltage tracking, grid current control, disturbance rejection, and unity power factor operation has been demonstrated.

dc.publisherInstitute of Electrical and Electronic Engineers
dc.titleExperimental Validation of a Robust Continuous Nonlinear Model Predictive Control Based Grid-Interlinked Photovoltaic Inverter
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Industrial Electronics

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curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access

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