High Performance Modified Model Predictive Control of a Voltage Source Inverter |
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| Authors: | Muslem Uddin Saad Mekhilef Marco Rivera |
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| Affiliation: | 1. Faculty of Engineering and Built Environment, School of Electrical Engineering and Computing, University of Newcastle, University Dr, Callaghan, NSW, Australia;2. Department of Electrical Engineering, Power Electronics and Renewable Energy Research Laboratory (PEARL), University of Malaya, Kuala Lumpur, Malaysia;3. Department of Industrial Technologies, Universidad de Talca, Curico, Chile |
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| Abstract: | This paper proposes a modified model predictive control (MMPC) method for a two-level voltage source inverter (VSI) by applying ‘Midpoint Euler's Approximation’ technique to achieve a high performance. Therefore, a new predictive mathematical modeling is derived and presented in this paper to predict the future behavior of the inductive load model, which is compared with the reference signal to determine the cost function of the system. In this MMPC method, all the possible switching vectors of the converter are utilized to obtain the cost functions, and the corresponding switching vector for minimum cost function is selected to actuate the power converter in the next sampling time interval. The proposed MMPC method and the traditional MPC schemes are verified in MATLAB-Simulink. The experimental validation is performed in DS1104 R&D Controller Board to justify and confirm the performance of the system. Simulation and experimental results validate the robustness of the proposed MMPC method, and improve the results compared to traditional MPC method in terms of total harmonic distortion (THD) and current reference tracking mean error. |
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| Keywords: | power converter voltage source inverter predictive control cost function voltage vectors switching frequency weighting factors finite-control-set reference tracking total harmonic distortion |
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