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In this paper, two schemes of a model predictive control (MPC), namely finite control set with modulation control (FCS-MPC) and dead-beat model predictive control (DB-MPC) as a continuous control set (CCS-MPC) are applied to permanent magnet synchronous motor (PMSM) for torque control. The FCS-MPC strategy chooses the optimal output voltage vector with its optimal modulation interval. In CCS-MPC strategy,...
This paper describes an offset-free model predictive control (MPC) algorithm using a disturbance observer (DOB) to control the active/reactive powers of a three-phase ac/dc converter. The strategy of this paper is twofold. One is the use of DOB to remove the offset error, and the other is the proper choice of the weighting matrices of a cost index to provide fast error decay with small overshoot....
This paper presents a dual-loop inverter voltage control strategy for uninterruptible power supply (UPS) utilizing an one-step ahead model predictive control in the inner-loop. The proposed MPC optimizes the cost function of the error state through a simple online membership test; any numerical method is not necessary. Moreover, any off-line optimization is not required. It is shown that the proposed...
Using a nonlinear converter model, a numerical on-line optimization free model predictive control (MPC) is proposed for a converter to regulate the capacitor voltage. The MPC is given analytically by minimizing an energy function of the tracking error with its global exponential stability under input constraints. The outer-loop PI controller is adopted to eliminate an offset errors caused by a plant-model...
In this paper, a two-loop control scheme is presented for the direct torque control (DTC) of the permanent magnet synchronous motor (PMSM). The contribution of this paper is twofold. The Drst is to propose an inner-loop model predictive controller (MPC) with the stability analysis. SpeciDcally, the inner-loop MPC is given analytically by minimizing an cost function of the tracking error, and its global...
In this paper, we propose an efficient receding horizon control strategy for offset free regulation of input constrained uncertain systems under the assumption that the reference state for tracking and the corresponding input are known. A proportional-integral controller is used. Off-line LMI formulations are derived to obtain a feasible and invariant set for the augmented system (contrller+plant)...
This paper deals with the Model Predictive Control of Uninterruptable Power System(UPS) using two level converter. The controller uses the d-q plane model of the system to predict the behavior of the state including output voltage at each sampling time. An equilibrium state and corresponding equilibrium inputs for the given reference output voltage is determined from the system model. Using the derived...
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