This paper proposes the virtual flux based direct power control for Vienna rectifier. No need for the input voltage sensors, the current regulation loop and PWM voltage modulation block along with the active and reactive power decoupling are some of the salient advantages of this method that make it suitable for controlling the conventional active rectifiers. However, due to the three-level nat...

this paper proposes an optimal power flow (opf) algorithm by direct load control (dlc) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. the cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with dlc programs. the load curtailment cost is based ...

Model Predictive Control (MPC) and Direct Power (DPC) are widely used in Doubly Fed Induction Generator (DFIG) applications. However, the context of DPC-based MPC for DFIG, there has been a lack literature focusing on design parameters. In this way, article introduces novel technique designing weighing matrices using Fake Algebraic Riccati Equation (FARE). As FARE is associated with infinite re...

To reduce the torque ripple in motors resulting from use of conventional direct control (DTC), a model predictive (MPC)-based DTC strategy for matrix converter-fed induction motor is proposed this paper. Two new look-up tables are proposed, these derived on basis electromagnetic and stator flux using all feasible voltage vectors their associated switching states. Finite set (FCS-MPC) has then b...

Brushless DC (BLDC) motors are used in a wide range of applications due to their high efficiency and high power density. In this paper, sensorless four-switch direct power control (DPC) method with the sector to sector commutations ripple minimization for BLDC motor control is proposed. The main features of the proposed DPC method are: (1) fast dynamic response (2) easy implementation (3) use o...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...