This paper proposes a model-predictive direct flux vector control (MPDFVC) for synchronous reluctance (SynRel) machines. Compared with the widely adopted vector control based in rotor synchronous rotating coordinate s...
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ISBN:
(纸本)9798331541613;9798331541606
This paper proposes a model-predictive direct flux vector control (MPDFVC) for synchronous reluctance (SynRel) machines. Compared with the widely adopted vector control based in rotor synchronous rotating coordinate system, the proposed control strategy is built upon control variables in stator flux-oriented frame, i.e., stator flux and torque-producing current. The integration of direct flux control with predictivecontrol aims to enhance dynamic performance and mitigate the cross-coupling effects of SynRel machines by utilizing the inherent bandwidth advantages of predictivecontrol. Key features of the proposed controller include torque and flux reference tracking terms, as well as a soft constraint on switching effort to reduce switching frequency and current distortions. Validation through simulation and experimental tests demonstrates the effectiveness of the proposed approach, showing fast dynamic response, reduced overshoots and undershoots of stator current, and minimized cross-coupling between state variables.
The LCL-type grid-connected inverter based on finite control set model predictive control (FCS-MPC) is suitable for weak grids because of its good robustness and fast dynamic response. However, in an FCS-MPC-based sys...
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The LCL-type grid-connected inverter based on finite control set model predictive control (FCS-MPC) is suitable for weak grids because of its good robustness and fast dynamic response. However, in an FCS-MPC-based system, the variable switching frequency causes the spread of the inverter-side current harmonic spectrum. Thus, the grid-side current may be distorted because the harmonics are amplified to the grid side due to the resonance peak of the LCL filter. To solve the above problem, this paper proposes an adaptive active damping (AD) method to eliminate the resonant effects. First, the system based on an MPC controller is regarded as a closed-loop system of the grid-side current, and the resonance peak is suppressed effectively by an AD, which consists of a virtual resistor and a virtual capacitor. Second, to balance the resonance suppression and dynamic performance of the system under weak grid conditions, the grid impedance is measured and the optimal AD values for different grid impedance are calculated online. Compared with the fixed-value AD, the proposed method has better resonance suppression and higher bandwidth. The effectiveness and feasibility of the proposed control strategy are verified by simulations and experiments.
The grid-connected inverter is a key device in the renewable energy power generation system and large-scale energy storage system, which the operational stability and reliability are the basis for the efficient and sa...
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The grid-connected inverter is a key device in the renewable energy power generation system and large-scale energy storage system, which the operational stability and reliability are the basis for the efficient and safe application of electrical energy. A real-time fault diagnosis method of a three-phase for grid-connected application combining a mixed logic dynamic (MLD) model and finitecontrolsetmodelpredictivecontrol (FCS-MPC) is proposed. This paper not only realizes the open circuit fault diagnosis and location of the switching devices in the main power circuit, but also discusses the threshold issues and post-fault operations. The advantage of the proposed method is that it directly uses the control data and measurement signals of the controller without extra sensors and calculation, which will shorter the fault diagnosis time and occupy less calculation resource of the main processor. Simulation results illustrate the quickness of the fault identification and accurate position with robustness to the interference of the diagnosis method. Finally, the effectiveness of the diagnosis method was verified by a 1500 W experimental prototype in a laboratory.
This paper investigates a finite-controlsetmodel-predictivecontrol (FCS-MPC) algorithm to enhance the performance of a synchronous reluctance machine drive. Particular emphasis is placed on the definition of the co...
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This paper investigates a finite-controlsetmodel-predictivecontrol (FCS-MPC) algorithm to enhance the performance of a synchronous reluctance machine drive. Particular emphasis is placed on the definition of the cost function enabling a computationally light implementation while targeting good transient and steady-state performance. In particular, this work proposes the inclusion of an integral term into the cost function to ensure zero steady-state errors thus compensating for any model inaccuracies. A control effort term is also considered in the formulation of the cost function to achieve a high ratio between the sampling frequency and the average switching frequency. After a comprehensive simulation study showing the advantages of the proposed approach over the conventional FCS-MPC for a wide range of operating conditions, several experimental test results are reported. The effectiveness of the proposed control approach, including a detailed analysis of the effect of the load and speed variations, is thus fully verified providing useful guidelines for the design of a direct modelpredictivecontroller of synchronous reluctance motor drives.
Multi-phase electric drives can act as a competitive solution for high-power applications. To take advantage of the multi-phase benefits, the design of high-performance control techniques is a crucial task. In this re...
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Multi-phase electric drives can act as a competitive solution for high-power applications. To take advantage of the multi-phase benefits, the design of high-performance control techniques is a crucial task. In this regard, the inherent features of modelpredictivecontrol (MPC) have aroused the interest of the scientific community in the last decade. This control solution, based on the usage of a cost function, provides notable flexibility to the control designer to select diverse regulation goals. Although the use of some weighting factors is a common trend to prioritize control purposes, the internal behavior of each term of the cost function is commonly ignored since the cost function is only focused on minimizing the total error. With this issue in mind, this work firstly performs a detailed analysis about the behavior of each cost function term in a standard MPC. The mentioned study permits identifying a certain pattern of the internal mechanics of the cost function that can disturb the current quality. To solve this limitation, the cost function of the MPC scheme is redefined. The proposed strategy permits improving current quality without increasing the number of switching states applied per control period, as it is validated with experimental results in six-phase electric drives.
The aim of this manuscript is twofold. Firstly, it presents an analytical approach to study a synchronous reluctance motor drive configured in open-end winding. The intention is to identify the potential benefits of t...
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ISBN:
(数字)9781728193878
ISBN:
(纸本)9781728193878
The aim of this manuscript is twofold. Firstly, it presents an analytical approach to study a synchronous reluctance motor drive configured in open-end winding. The intention is to identify the potential benefits of the floating capacitor configuration over the classical single inverter supply in terms of enlargement of the constant power speed range. A deep investigation was carried out on how varying the floating capacitor voltage level allows to modify the torque-versus-speed characteristics, enabling the drive to work at favorable operating points with high power factor. Secondly, the potential of the predictivecontrol is exploited for such multi-variable system avoiding the non-trivial tuning difficulties necessary when standard controllers are considered, and allowing two converters to be controlled with a single cost function. Simulation results prove the desired operations with high power factor and extended constant torque region while keeping good dynamic performance.
As an advanced control method of permanent magnet synchronous motor(PMSM),finite control set model predictive control(FCS-MPC) has earned widespread attention for its advantages of intuitive concept,splendid dynamic p...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
As an advanced control method of permanent magnet synchronous motor(PMSM),finite control set model predictive control(FCS-MPC) has earned widespread attention for its advantages of intuitive concept,splendid dynamic performance and capability of handling the constraints and ***,the dependence on the model parameter accuracy is the main barrier for FCS-MPC to be applied to the industry *** order to solve this issue,this paper presents a robust FCS-MPC against parameter *** proposed strategy utilizes the prediction error in the d-and q-axis currents during the past instant to calculate the compensation which should be added to the predicted currents in the next ***,the cost function in the proportional-integral form is designed as ***,the simulation results and experimental results prove the proposed method's effectiveness in suppressing the influence of model parameter mismatch on the control performance of PMSM.
This paper proposed an efficient modelpredictivecontrol strategy for a three-level T-type inverter connected to a doubly fed induction generator. A dynamic model is utilized to track the power reference, preserve th...
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This paper proposed an efficient modelpredictivecontrol strategy for a three-level T-type inverter connected to a doubly fed induction generator. A dynamic model is utilized to track the power reference, preserve the DC-link voltage balancing and reduce the inverter switching frequency and common-mode voltage. Unlike the traditional finite control set model predictive control, the stability of the closed-loop system and computational burden reduction are concurrently accomplished as the main contribution to the proposed strategy. At each sampling period, the proposed algorithm only considers the candidate control inputs which satisfy the stability condition taken from a suitable control Lyapunov function for evaluating the optimization problem. Due to model uncertainties and discrete setcontrol input voltages, an attractivity set is employed to determine the stability and converge of the system. Therefore, the lower computation time of the optimization problem is the potential benefit compared with the conventional method. Simulation investigation with different operating conditions of a 2 MW wind turbine is carried out by MATLAB/Simulink. The achieved results confirm the stability guarantees while reducing the computational burden and obtaining the same control performances in comparison with the conventional method.
This paper proposes an equivalent temperature estimation-based finite control set model predictive control (ETE-FCS-MPC) method to balance the thermal stress among transistors in three level neutral point clamp (3L-NP...
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This paper proposes an equivalent temperature estimation-based finite control set model predictive control (ETE-FCS-MPC) method to balance the thermal stress among transistors in three level neutral point clamp (3L-NPC) traction inverters, which can be used to prolong the whole service life and improve the reliability of the traction inverter. Compared with other methods, the proposed ETE-FCS-MPC method requires lesser calculation without additional sensor. Firstly, an energy loss-based equivalent temperature estimation method is proposed to avoid the complexity of junction temperature prediction. Secondly, an energy variance-based thermal stress balance control objective is introduced. Then, a normalized evaluation function is established to select the optimal switching state. Finally, the effectiveness of this method is verified on hardware-in-the-loop tests.
Leakage current is one of the main issues for transformerless grid-connected photovoltaic inverters, and its reduction is a primary focus of various studies reported in the literature. This article proposes and valida...
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Leakage current is one of the main issues for transformerless grid-connected photovoltaic inverters, and its reduction is a primary focus of various studies reported in the literature. This article proposes and validates a finite control set model predictive controller with a novel cost function to mitigate leakage current in a single-phase full-bridge (FB) grid-connected inverter with an LCL filter, making no modifications to the traditional FB topology and without adding any extra components. Furthermore, mathematical modeling is based on the fully actuated system model, allowing a reduction in the number of variables sensed during implementation, resulting in only grid current and voltage being measured.
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