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Finite-set model predictive control (FS-MPC) is an easy and intuitive control technique. However, parametric uncertainties reduce the accuracy of the prediction. Classical MPC requires many calculations; therefore, the calculation time generates a considerable time delay in the actuation. This delay deteriorates the performance of the system and generates a significant current ripple. This paper proposes a finite-set integral sliding modes predictive control (FS-ISMPC) for a permanent magnet synchronous motor (PMSM). The conventional decision function is replaced by an integral sliding cost function, which has several advantages, such as robustness to parameter uncertainties, and convergence in finite time. The proposed decision function does not require the inductance and resistance parameters of the motor. In addition, the proposal includes compensation for the calculation delay of the control vector. The proposed control strategy was compared with traditional predictive control with delay compensation using a real-time hardware-in-the-loop (HIL) simulation. The results obtained from the comparison indicated that the proposed controller has a lower THD and computational burden. [ABSTRACT FROM AUTHOR]

In this paper, a robust nonlinear control scheme based on the combination of the block-control linearization and integral sliding modes is proposed. This control technique is applied to multimachine electric-power systems. The plant model takes into account the interactions in power systems between the electrical and mechanical dynamics and load constraints. A nonlinear observer is designed to estimate the synchronous generators' rotor fluxes. The proposed control scheme requires only local information of each generator. The considered controller was tested and compared with a classical one through simulation on the Western System Coordinating Council system. Index Terms--Decentralized control, nonlinear systems, power-system control, sliding-mode (SM) control, synchronous generators.