This paper deals with a novel control of pulse width modulation inverters connected to the grid through resonant LCL filters. High-speed on-line model-predictive control scheme is derived in order to provide a fast response, making it suitable for applications, such as active filtering, where a large bandwidth is required. Two state observers, using moving horizon estimator algorithm, are used in order to reduce the number of required sensors, to eliminate noise and to achieve a good stability against voltage grid disturbances. Computational complexity has been reduced such that an on-line optimization method in a realtime environment with hard time constraints is become feasible. Robustness and effectiveness of the proposed control architecture are validated using an hardware-in-the-loop, where run-times are reported and solution accuracy is compared with an open-source implementation solver, thus demonstrating maturity for an industrial application.

MHE-MPC based control architecture of an lcl filter grid-connected PWM inverter

Toso F.;De Soricellis M.;Carlet P. G.;Favato A.;Bolognani S.
2019

Abstract

This paper deals with a novel control of pulse width modulation inverters connected to the grid through resonant LCL filters. High-speed on-line model-predictive control scheme is derived in order to provide a fast response, making it suitable for applications, such as active filtering, where a large bandwidth is required. Two state observers, using moving horizon estimator algorithm, are used in order to reduce the number of required sensors, to eliminate noise and to achieve a good stability against voltage grid disturbances. Computational complexity has been reduced such that an on-line optimization method in a realtime environment with hard time constraints is become feasible. Robustness and effectiveness of the proposed control architecture are validated using an hardware-in-the-loop, where run-times are reported and solution accuracy is compared with an open-source implementation solver, thus demonstrating maturity for an industrial application.
2019
2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
11th IEEE International Electric Machines and Drives Conference, IEMDC 2019
978-1-5386-9350-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3399815
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