High Performance Modified Model Predictive Control of a Voltage Source Inverter
Document Type
Article
Publication Date
1-1-2018
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.
Keywords
power converter, voltage source inverter, predictive control, cost function, voltage vectors, switching frequency, weighting factors, finite-control-set, reference tracking, total harmonic distortion
Divisions
fac_eng
Funders
Ministry of Higher Education and University of Malaya: research grant No. UM.C/HIR/MOHE/ENG/17 and UMRG project No. RP015A/13ET
Publication Title
Electric Power Components and Systems
Volume
46
Issue
5
Publisher
Taylor & Francis