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This paper proposes the finite control set applied to the current control of an interleaved boost converter of photovoltaic systems. The proposed controller select the state of the converter semiconductor by using the predicted behavior of the converter and the minimization of a cost function. Hence, the controller guarantees that the current reference is reached. The current reference is computed...
In this paper, constrained model predictive control (MPC) based on parallel neural network optimization is proposed to apply to pulse width modulation (PWM) rectifier and improve power quality. An decoupled model of three-phase rectifier in abc coordinates is built. Then, the constrained MPC method is proposed. This method breaks the limits of predictive control with finite set and without constraints...
This paper presents an indirect model predictive control to develop a direct power regulator for a modular multilevel converter connected to a high voltage direct current bus line, where the main task is to bidirectionally transfer active power to the grid and simultaneously compensate reactive power. The main advantage, of the proposed dynamic matrix control methodology, is to capture the system...
This work proposes and investigates a renewable energy distributed generation system involving a matrix converter with an output filter working as a stable voltage supply. This is especially relevant for the stand-alone operation of a renewable energy microgrid where a stable sinusoidal voltage with prescribed amplitude and frequency under various load conditions is the main control objective. A controllable...
Single-phase grid-connected inverters with LCL filter are widely used to connect photovoltaic systems to the utility grid. Among the existing control schemes, predictive control methods are faster and more accurate but also more complicated to implement. Recently, the Model Predictive Control (MPC) algorithm for single-phase inverter has been presented, where the algorithm implementation is straightforward...
A predictive control scheme for the third-harmonic injection two-stage matrix converter (3TSMC) under unbalanced input voltages is presented. The proposed scheme is designed to predict the future behavior of the third-harmonic injection current and load currents respectively for each valid switching state. The control scheme selects the state that minimizes the error between the predicted currents...
Conventional finite control set model predictive control (FCS-MPC) for multilevel converters can realize multi-objective control and contain the nonlinear characteristics. However, conventional FCS-MPC may lead to high computational complexity and unwanted switching transition, which is not easy to implement. To solve the issues of computational burden and unwanted switching transition, this paper...
Finite Control Set Model Predictive Control (FCS-MPC) allows to deal with non-linearities of the system and obtain a fast dynamic response. Therefore FCS-MPC is a good alternative to govern complex power converters or when fast transient operation is required. A problem about the implementation of FCS-MPC is the computational cost, which is bigger for multilevel converters. This paper proposed a new...
In this paper, a predictive direct power control (P-DPC) strategy for a three level NPC rectifier under ideal grid voltage is proposed, discussed and applied. With the proposed P-DPC strategy, the control targets are the active power, the reactive power and the neutral potential voltage; neither hysteresis comparators nor switching table are needed; sinusoidal input current with low total harmonic...
Model Predictive Control (MPC) method offers advantages of easy implementation and fast dynamics. However Model predictive control method has variable switching frequency, which makes design of the output filter difficult for power converter. Despite the problems of MPC algorithm, there are little methods to fix the switching frequency using MPC algorithm in power converter. Therefore, this paper...
In this paper, a three-level Boost (TLB) converter maximum power point tracking (MPPT) control strategy for a two-stage photovoltaic (PV) system based on model predictive control (MPC) is proposed. This method realizes fast and precise control through establishment of a prediction model and minimization of a cost function. In the work, first a three-level predictive model for the boost converter is...
This paper presents an approach to completely eliminate common-mode voltage (CMV) of an AC motor fed by a three-level neutral point clamped (NPC) inverter. CMV is produced at the star point of an AC machine fed from the inverter. Its parasitic coupling with the motor frame has a negative effect on the motor itself and other equipment, particularly in underground environment. The proposed approach...
The paper proposes a moving average filter (MAF)-based model predictive control (MPC) for the electric vehicles (EVs) bidirectional chargers. Grid virtual flux is used to estimate the grid voltage through a low pass filter (LPF). An MAF, which acts as an ideal LPF, can eliminate the effect of unbalanced/distorted grid voltage and unknown characteristic harmonics. Both the two-cascaded LPF-based and...
In this paper, voltage vector selection for the direct torque control (DTC) for surface permanent magnet synchronous motor (SPMSM) based on predictive control is proposed. Firstly, based on increasing or decreasing effects of the applying voltage vector on the amplitude of stator flux and torque of SPMSM, the proper voltage vector selection area of the DTC for SPMSM is given. Then predictive control...
The paper considers control of a three phase three level grid-tied voltage source inverter with LCL filter based on optimal pulse patterns and model predictive control. The model predictive approach requires a non-convex optimization problem to be solved on-line in real-time. A new optimization algorithm for solving the problem is presented. The proposed algorithm applies a nonlinear transformation...
This paper describes new model predictive control for high performance current control system of PMSM. The current control system based on FCS-MPC decides an inverter output voltage directly by searching. In a principle, this type controller can use not only PWM drive but also overmodulation and square wave drive[1]. However, conventional current control based on FCS-MPC is inferior to PWM modulated...
The multi-actuation-based model predictive control (MPC) method can significantly improve the steady-state performance of cascaded H-bridge (CHB) inverters. However, a large computational burden is generated on digital controller when this method is applied for CHB inverter due to its large number of control actuations. In this paper, a new MPC method is proposed for a single-phase CHB inverter. In...
This paper presents a method to design a predictive controller for a 50kW three-phase grid-tied inverter. A discrete-time model of the inverter is built in which duty ratios are modeled as continuous control variables. Then, introduce predictive control parameters P and M, and built a predictive model based on predictive controller parameters and discrete-time model. A cost function is employed as...
According to the characteristics of high performance three-phase grid-connected inverters, the strategy of model current predictive control for three-phase grid-connected inverters without PLL is put forward. In each control cycle, the eight voltage vectors of three-phase grid-connected Inverters are calculated in prediction model. The voltage vector which makes the value function minimum is taken...
In this paper a new control method for a three level flying capacitor buck converter has been developed using a modulated model predictive control. The proposed method takes into account all the possible switching configurations of the converter and selects two switching configurations to be applied to the converter in the next sampling time, using a cost function. The cost function has been defined...
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