Computationally efficient model predictive control for quasi-Z source inverter based on Lyapunov function

摘要

This paper proposes a computationally efficient model predictive control strategy for quasi-Z source inverter. Unlike the classical finite control set model predictive control method, besides the ability of computational cost reduction, the proposed method considers the stability of the closed-loop system in the control design. At each sampling period, only feasible switch control inputs that satisfy the stability condition derived from a control Lyapunov function are taken into account in the minimisation of the cost function. Therefore, the computation time of the optimisation problem is decreased compared with the conventional algorithm. A comparison of the classical model predictive control method is investigated by Matlab software in various operating conditions of the system. The achieved results verify the benefit of the proposed approach for dealing with the stability and computational burden over the conventional method while maintaining high control performance.