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F. Morales

Bio: F. Morales is an academic researcher from University of Talca. The author has contributed to research in topics: Voltage source & Voltage. The author has an hindex of 1, co-authored 1 publications receiving 31 citations.

Papers
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Proceedings ArticleDOI
17 Mar 2015
TL;DR: A novel predictive control strategy with a fixed switching frequency for a voltage source inverter called as modulated model predictive control (M2PC) is proposed, with the aim of obtaining a modulated waveform at the output of the converter.
Abstract: Traditional finite-set model predictive control (FS-MPC) techniques are characterized by a variable switching frequency which causes noise as well as large voltage and current ripple. In this paper a novel predictive control strategy with a fixed switching frequency for a voltage source inverter called as modulated model predictive control (M2PC) is proposed, with the aim of obtaining a modulated waveform at the output of the converter. The feasibility of this strategy is evaluated using simulation results to demonstrate the advantages of predictive control, such as fast dynamic response and the easy inclusion of nonlinearities. Finally, a modified strategy is proposed in order to naturally reduce the common mode voltage. The constraints of the system are maintained but the performance of the system in terms of power quality is improved when compared to FS-MPC.

43 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the use of a model-predictive control strategy to control a direct matrix converter and proposed a control method combining the features of the classical model-predictive control and the space vector modulation technique.
Abstract: This paper investigates the use of a model-predictive control strategy to control a direct matrix converter. The proposed control method combines the features of the classical model-predictive control and the space vector modulation technique into a modulated model-predictive control. This new solution maintains all the characteristics of model-predictive control (such as fast transient response, multiobjective control using only one feedback loop, easy inclusion of nonlinearities and constraints of the system, and the flexibility to include other system requirements in the controller), adding the advantages of working at fixed switching frequency and improving the quality of the controlled waveforms. Simulation and experimental results employing the control method to a direct matrix converter are presented.

73 citations

Journal ArticleDOI
TL;DR: The proposed floating bridge topology eliminates the need for isolation transformer in a dual inverter system and therefore reduces the size, weight, and losses in the system.
Abstract: This paper presents a model predictive control technique applied to a dual-active bridge inverter where one of the bridges is floating. The proposed floating bridge topology eliminates the need for isolation transformer in a dual inverter system and therefore reduces the size, weight, and losses in the system. To achieve multilevel output voltage waveforms, the floating inverter dc-link capacitor is charged to the half of the main dc-link voltage. A finite-set model predictive control technique is used to control the load current of the converter as well as the floating capacitor voltage. Model predictive control does not require any switching sequence design or complex switching time calculations as used for space vector modulation; thus, the technique has some advantages in this application. A detailed analysis of the converter as well as the predictive control strategy is given in this paper. Simulation and experimental results to validate the approach are also presented.

56 citations

Journal ArticleDOI
27 Jul 2020
TL;DR: Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality and can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor.
Abstract: Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

53 citations

Journal ArticleDOI
TL;DR: A modulated model-free predictive control with minimum switching losses (MSL-MMFPC) is proposed to improve the steady-state performance and reduce the switching losses for a permanent magnet synchronous motor (PMSM) drive system.
Abstract: A modulated model-free predictive control with minimum switching losses (MSL-MMFPC) is proposed to improve the steady-state performance and reduce the switching losses for a permanent magnet synchronous motor (PMSM) drive system. Firstly, two adjacent current vectors are determined based on the predefined first-level cost function, and then, make the current vector at the next control period equal to the reference current vector by modulating the selected current vectors properly. Additionally, in order to keep optimal control performance also in the over-modulation region, a new rotating coordinate frame is used to adjust the optimal voltage vector. Then, the second-level cost function is designed to select the optimal voltage vector sequence, so that the switching of a VSI leg does not happen during the phase-current maximum, which can reduce the switching losses of the inverter. The simulation and experimental results verify the effectiveness of the proposed control method.

30 citations

Journal ArticleDOI
TL;DR: A novel model predictive control strategy for stand-alone voltage source converters (VSCs) with constant switching frequency that allows the usage of linear theory for tuning the parameters and the superior characteristics of this control strategy compared to cascaded linear control and finite control set MPC are demonstrated experimentally.
Abstract: This paper introduces a novel model predictive control (MPC) strategy for stand-alone voltage source converters (VSCs) with constant switching frequency. Multiple control targets are incorporated in a single cost function. This allows fulfilling all the requirements for an uninterruptible power supply (UPS) inverter in terms of fast dynamic response, elimination of steady-state error, and harmonic compensation capability. The control output vector is determined as an analytical solution that corresponds to the minimum value of the cost function. The space vector modulation (SVM) is then used to synthesize the corresponding switching sequence. Therefore, this control strategy is equivalent to the linear state feedback control, which allows the usage of linear theory for tuning the parameters. The superior characteristics of this control strategy compared to cascaded linear control and finite control set MPC are, finally, demonstrated experimentally.

29 citations