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Model mismatch from parameter uncertainties and disturbance is a challenge of controller design for DC-DC boost converters. To deal with this problem, a composite cascade adaptive controller is proposed in this paper. The outer loop is a PI controller combined with a feedforward compensator to generate the current signal from the output voltage reference and the inner loop is a finite horizon Model...
The modular multilevel converter (MMC) is considered among the top choices for very high-power applications due to its superior features. To operate with good performance, effective control and modulation techniques are required to suppress the detrimental effects, including the circulating current and the capacitor voltage ripples. This paper proposes an efficient variable nearest level control-model...
Boost converters are widely used in several applications such as solar PV systems, energy storage systems, etc. In order to improve its dynamic performance, several model predictive control (MPC) strategies have been proposed to govern this DC-DC converter. However, in general, they require long prediction horizons to achieve a stable closed-loop due to its well-known non-minimum phase behavior. A...
Uninterruptable power supply (UPS) applications require شa well regulated sinusoidal output voltage with low total harmonic distortion (THD). These requirements are achieved by model predictive control (MPC) of UPS inverter with LC filter on the output. The controller uses the model of the system to predict the future behavior of the controlled variables for all possible voltage vectors, and uses...
In this paper, a model predictive control strategy for a five level cascaded H bridge multilevel inverter used in a grid connected photovoltaic system is presented. Finite Control Set Model Predictive Control (FCS-MPC) is used here due to its simple and flexible nature to adapt with the discrete nature of power electronic circuits. Its digital implementation is also made easier with the advancement...
Based on the theoretical model of three-level converters, a mathematical model of the predictive active power and reactive power control is deduced. Relationship of both active power and reactive power with voltage vectors is analyzed from an instantaneous power perspective. Influence and tendency caused by voltage space vectors on the active power and reactive power are described in detail. Because...
The flying capacitors (FCs) of the nested neutral-point-clamped (NNPC) converter show an inherent voltage ripple at fundamental frequency. This ripple can be significantly large under some operating conditions of the converter. In this paper, the amplitudes of the low-frequency voltage ripples in the FCs are determined. An averaged model of the NNPC converter is introduced and used in the analysis...
This paper proposes Z-source with voltage multiplication inverter for grid connected Photovoltaic (PV) application. The proposed scheme has two-stage. The first stage consists of Z-source with voltage multiplication converter. The proposed converter has high gain compared to other transformer less topologies and reduced voltage stress on the switch. The second stage assembled from five switch inverter...
The modular multilevel converter (MMC) is a competitive candidate for medium/high-power applications, specifically for high-voltage direct current transmission systems. Model predictive control (MPC) is an advanced and flexible method for power converters. The existing MPC methods for the MMC 3-phase system treat whole system as a three independent single phase system, and the computational load increases...
This paper presents a detailed description of Finite Control Set Model Predictive Control (FCS-MPC) applied to three-level neutral point clamped inverter (3L-NPC). The controller uses a model of the converter, DC link and load to calculate predictions of the future values of the load currents and DC-link capacitor voltages for all possible voltage vectors. The cost function is defined to minimize...
This paper presents a finite control set model predictive strategy for a three-phase, three-level Neutral-Point-Clamped (NPC) inverters with resistive-inductive load (RL-Load). This strategy allows for fast load current control while keeping the balance of the DC-link capacitor voltages. The system performance with a prediction horizon of one sample time and the dynamic response of the system with...
This paper proposes a model predictive control (MPC) strategy for a nested neutral point clamped (NNPC) converter. The NNPC converter is a four-level topology that is very attractive for medium-voltage (MV) applications. This is because it has less number of components in compare to other classic four-level topologies. In this paper, the MPC strategy is developed for the NNPC converter to control...
Model Predictive Control (MPC) offers many advantages over more traditional control techniques, such as the ability to avoid cascaded control loops. Unfortunately, as a result of the lack of presence of a modulation strategy, this approach produces spread spectrum harmonics which are difficult to filter effectively. Furthermore, high switching frequencies may be needed because of the limited number...
This paper presents a model predictive strategy for a three-phase, two-level Voltage Source Inverter (VSI) and three-level Diode-Clamped Converters (DCCs) with AC filter for Renewable Energy Systems (RES) applications. The renewable energy systems model is used in this paper to investigate the system performance when power is supplied to Resistive-Inductive load (RL-load). This strategy allows for...
This paper presents a new control strategy for a four-leg indirect matrix converter that effectively mitigates common-mode voltages and gives optimal control of source and load currents. This method uses the commutation state of the converter in the subsequent sampling time according to an optimization algorithm given by a simple cost function and a discrete system model. The control goals are the...
Parallel-connected three-phase back-to-back converters improve the fault tolerance and reduce the current rating of a six-phase asymmetrical drive system. This paper proposes a Model Predictive Control (MPC) strategy for an asymmetrical six-phase induction machine drive system that consists of two parallel connected three-phase back-to-back converters. A discrete-time mathematical model is derived...
The Modular Multilevel Converter (MMC) is a newly introduced multilevel converter topology with high modularity and scalability, suitable for a wide range of voltage/power applications. This paper proposes a model predictive control (MPC) strategy to eliminate the circulating currents and carry out the voltage balancing task of an MMC. A discrete-time mathematical model of an MMC is derived and a...
Linear switched systems are a wide class of hybrid dynamical systems consist of linear subsystems, and switching signals. In this paper, a new method is proposed to obtain the optimal switching time of switched linear systems which have some constraints in their switching signal. Buck and Boost converters are well matched in this model of constrained linear switched systems. The optimal switching...
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