Makhamreh, HamzaDyab, Amer Mohammad Nayef2023-09-152023-09-1520232832-7667http://hdl.handle.net/10679/8837https://doi.org/10.1109/GPECOM58364.2023.10175673In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) algorithm is proposed. The cost function in this predictive control algorithm is designed to eliminate the dependency on the physical parameters of the circuit, which may have a high mismatch margin affecting the precision of the design. The algorithm is implemented for a three-level buck converter, and the simulation is compared to the classical FCS-MPC method. Compared to the classical MPC method, the proposed Lyapunov-based MPC method requires no gain tuning and has a simple design procedure while achieving comparable performance.engrestrictedAccessconferenceObject818500104301140001410.1109/GPECOM58364.2023.10175673Controller performanceFinite control setModel predictive controlStabilityThree level dc/dc converters2-s2.0-85166481833