The purpose of this paper is to relax the terminal conditions typically used to ensure stability in model predictive control, thereby enlarging the domain of attraction for a given prediction horizon. Using some recent results, we present novel conditions that employ, as the terminal cost, the finite-horizon cost resulting from a nonlinear controller u = −sat(Kx) and, as the terminal constraint...

The Modular Multilevel Converter is a good alternative for high power, medium voltage drive applications due to its modularity and scalability. However, the control complex typically involves several highly-coupled circulating current feedback loops implemented using Single-Input Single-Output design tools. Additionally, each has many different frequency components electrical sequences increase...

Model predictive control (MPC) method has been recognized as one of the most promising technologies for modular multilevel converter (MMC) due to fast dynamic response and its simple realization. However, conventional finite set (FCS) MPC methods MMC are facing some challenges, such high computation burden, poor steady-state performance, dependence on weighting factors, variable switching frequ...

In the neutral point clamped (NPC) three-level inverter-permanent magnet synchronous motor system, traditional model predictive current control (MPCC) uses system to traverse 27 basic voltage vectors, achieve d-q axis component and of multi-objective optimal control. Finite set predicts state change target at future moments based on a finite number switching states inverter. The principle this ...

A speed tracking control method for induction machine is shown in this paper. The consists of outer loop and inner current loop. Model predictive without the need calculation weighing factors utilized loop, which generates a continuous set voltage reference values that can be modulated applied by inverter to machine. Interesting parallels are drawn between developed state feedback principles he...