Optimal Sector based Sequential Model Predictive Control for Current Source Rectifier

Kumar, Gannamraju Siva and Bhimasingu, Ravikumar (2022) Optimal Sector based Sequential Model Predictive Control for Current Source Rectifier. IEEE Journal of Emerging and Selected Topics in Power Electronics. pp. 1-12. ISSN 2168-6777

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Abstract

Conventional Model Predictive Control (MPC) methods for Current Source Rectifier (CSR) use either a PI controller or weight factor based methods which require time-consuming tuning methods to develop an efficient controller. Moreover, the limitations on the bandwidth requirements of the LC filter cause resonances and grid current distortions if a Variable Switching Frequency based predictive control is used. So, a new fixed switching frequency based MPC algorithm has been developed to control the load and source current simultaneously thereby facilitating the weight factor less operation and applying a predefined space vector sequence. Unlike the conventional single cost function methods applied to CSR, the proposed method uses separate cost function for each control variable. Simultaneously to provide fixed frequency operation, duty ratio based modulation of grid current control has been applied. A virtual impedance based active damping has been embedded into the supply current control to suppress the oscillations caused by the LC filter and grid current harmonics. Simulation and experimental results have been supported to validate the improvements in terms of supply current THD, steady state, and transient switching performance. IEEE

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IITH Creators:

IITH Creators	ORCiD
Bhimasingu, Ravikumar	https://orcid.org/0000-0002-5880-4023

Item Type:

Article

Uncontrolled Keywords:

Cost function; Current source rectifier; fixed frequency control; Mathematical models; model predictive control; modulated MPC; PI control; Predictive control; sequential MPC; Steady-state; Switches; Tuning; weight factor less MPC

Subjects:

Electrical Engineering

Divisions:

Department of Electrical Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

22 Jul 2022 04:35

Last Modified:

22 Jul 2022 04:35

URI:

http://raiithold.iith.ac.in/id/eprint/9855