Abstract
Finite state Model predictive control (FS-MPC) is one of the classifications of MPC that has been employed for switching control of voltage source inverters (VSIs). FS-MPC is based on the fundamental concept of optimized switching state selection corresponding to the minimum cost function /error function using finite states model of the power electronics converter. In this paper, modified FS-MPC based on the novel mathematical cost function is presented for reduction of switching frequency. An additional constraint of change in current error with conventional absolute error is formulated to present novel cost function. In addition, the cost function based on squared error is also formulated for in-depth analysis. The proposed novel cost function based FS-MPC is compared with previously presented FS-MPC based on the cost function with change in voltage vector constraint. FS-MPC is implemented in MATLAB-Simulink for a three-phase VSI and simulation results are obtained for performance analysis and validation of the controller.
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