Improved Model Predictive Control Based on ADALINE algorithm

This paper proposes an improved adaptive model predictive control (MPC) based on ADALINE algorithm, which adopts well-designed convergence domain to minimize estimation error. The Finite Control Set Model Predictive Control (FCSMPC) is used in a three-phase three-level voltage source inverter (3L-VSI). The ADALINE is used to online update the inductance and resistance parameters of the predictive model. If the convergence domain is small, the traditional ADALINE -MPC will run incorrectly because the algorithm does not converge; if the convergence domain is large, it will cause large errors in the parameters estimated by the ADALINE. This paper aims to overcome this problem so that the ADALINE can choose a suitable convergence region, which provides better robustness and control accuracy for predictive control. Experiments have been applied to the grid-connected 3L-VSI and demonstrate the effectiveness of the proposed method.