This paper offered a novel approach based on modelpredictivecontrol for a direct matrix converter with a long prediction horizon. A discrete-time model of the dynamical system is used to predict the future response ...
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This paper offered a novel approach based on modelpredictivecontrol for a direct matrix converter with a long prediction horizon. A discrete-time model of the dynamical system is used to predict the future response of the control variables for pursuing the reference load current. The long prediction horizon can be used to improve the control performance but increase the computational complexity. In contrast to the classical finite control set model predictive control, the proposed scheme employed a control Lyapunov function in the control design to guarantee a stable closed-loop system. During each sampling interval, only the probable control switching states which meet the sufficient stability condition are considered for evaluating the optimization processes, leading to a dramatic reduction of the computation time. An extensive examination of the conventional modelpredictivecontrol and the proposed method under some operational circumstances is conducted with Matlab software. The simulation and experimental results prove the effectiveness and feasibility of the proposed control strategy in terms of stability and reduced computational burden.
This paper proposes a computationally efficient modelpredictivecontrol strategy for quasi-Z source inverter. Unlike the classical finite control set model predictive control method, besides the ability of computatio...
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This paper proposes a computationally efficient modelpredictivecontrol strategy for quasi-Z source inverter. Unlike the classical finite control set model predictive control method, besides the ability of computational cost reduction, the proposed method considers the stability of the closed-loop system in the control design. At each sampling period, only feasible switch control inputs that satisfy the stability condition derived from a control Lyapunov function are taken into account in the minimisation of the cost function. Therefore, the computation time of the optimisation problem is decreased compared with the conventional algorithm. A comparison of the classical modelpredictivecontrol method is investigated by Matlab software in various operating conditions of the system. The achieved results verify the benefit of the proposed approach for dealing with the stability and computational burden over the conventional method while maintaining high control performance.
Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies de...
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Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies demands high computational power that necessitates efficient digital controllers like field programmable gate array (FPGA). The inherent parallelism offered by FPGAs minimizes the execution time and exhibits an excellent cost-performance trade-off. In addition, rapid advancements in FPGA technology with a broad portfolio of intellectual property (IP) cores, design tools, and robust embedded processors resulted in a design paradigm shift. This article proposes a low-cost solution for the resource-optimized implementation of dynamic, highly accurate, and computationally intensive finite state-predictive direct current control (FS-PDCC). The challenges for implementing complex control algorithms for power converters are discussed in detail, and the control is implemented in Intel's low-cost non-volatile FPGA-MAX (R) 10. An efficient design methodology using finite state machine (FSM) is adopted to achieve time/resource-efficient implementation. The parallel and pipelined architecture of FPGA provides better resource utilization with high execution speed. The experimental results prove the efficiency of FPGA-based cost-effective solutions that offer superior performance with better output quality.
Renewable energy plays an increasingly significant role in the power generation process. Wind energy, in particular, has brilliant prospects, especially high-power wind energy. The three-level neutral-point-clamped (3...
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ISBN:
(纸本)9781728157542
Renewable energy plays an increasingly significant role in the power generation process. Wind energy, in particular, has brilliant prospects, especially high-power wind energy. The three-level neutral-point-clamped (3L-NPC) converter for power transformed into the grid has proven to be a promising and effective configuration. For this topology, finite control set model predictive control (FCS-MPC) is an effective control option. However, the performance of FCS-MPC, like most model based control schemes, will deteriorate when system parameter (in particular, the inductance of grid side filters) varies. In this work, we propose a robust FCS-MPC scheme with revised predictions. This proposed robust FCS-MPC outperforms the classic scheme at both normal and parameter mismatched conditions, which has been validated experimentally for such systems with a fully FPGA based real-time hardware. Besides, the proposed method enlarges the range of the stability of the control method. The stability of the proposed scheme is derived theoretically and proven to be better in comparison with classic FCS-MPC.
In this work, the use of a multilayer perceptron feedforward neural network is proposed to capture the solution of the long-horizon finite control set model predictive control (FCS-MPC) problem in electrical drive sys...
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ISBN:
(纸本)9781728154145
In this work, the use of a multilayer perceptron feedforward neural network is proposed to capture the solution of the long-horizon finite control set model predictive control (FCS-MPC) problem in electrical drive systems. The motivation behind this research is based on treating the direct modelpredictivecontrol problem of a power converter as a multi-class classification problem as it consists of a finiteset of switching states, which can be seen as a finite number of different classes. By simulation results and hardware in the loop (HIL) test, it is proved that the solution of the long-horizon FCS-MPC can be captured by a real-time computationally implementable neural network that recognizes the converter switching states with an accuracy of 85 - 90%. Hence, it captures the performance enhancement of long horizon FCS-MPC in a computationally efficient manner (15.84 mu s).
In this paper, the main parts of test bench for a self-sensing modelpredictivecontrol (MPC) technique for an induction motor (IM) operated with IGBT-based three level neutral point clamped voltage source inverters (...
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ISBN:
(数字)9781728171609
ISBN:
(纸本)9781728171616
In this paper, the main parts of test bench for a self-sensing modelpredictivecontrol (MPC) technique for an induction motor (IM) operated with IGBT-based three level neutral point clamped voltage source inverters (3L-NPC-VSI) are introduced and discussed. The essential aspects, software and hardware components are discussed, and the crucial required design issues, calculations, layouts, and manufacturing process are illustrated. The MPC algorithm is based on the finitecontrolset (FCS) of the 3L-NPC-VSI, the self-sensing mechanism is based, from one side, on the Extended Kalman Filter (EKF) nonlinear adaptive observer for speed estimation and from other side on the linkage flux estimation for stator flux and motor torque. Transient dynamic behavior of the Motor under different load conditions will be presented and evaluated.
The control performance of converter directly affects the drive efficiency of electric vehicle（EV）.This paper studies on the modelpredictivecontrol（MPC） based controller design of battery integrated modular mult...
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The control performance of converter directly affects the drive efficiency of electric vehicle（EV）.This paper studies on the modelpredictivecontrol（MPC） based controller design of battery integrated modular multilevel converter（B-MMC）.Aiming at the goal of three-phase current tracking and battery balancing control of B-MMC,three-layer controllers are *** first controller is the finite control set model predictive control（FCS-MPC）,which realizes the motor drive by tracking the phase *** second controller is the circulation controller for the active balance control of *** is composed of multiple proportional controllers to realize the battery balance between the bridge *** third controller is the battery sorting algorithm to achieve the passive balance control of the battery in the same bridge *** the same time,field programmable gate array（FPGA） is used to accelerate the controller to meet the real-time requirements of ***,the simulation results of the B-MMC control system validates the effectiveness of the control algorithm.
finite control set model predictive control (FCSMPC) has become popular for grid interactive applications due to its simplicity and ease of implementation. Since the implementation of FCSMPC requires all possible swit...
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finite control set model predictive control (FCSMPC) has become popular for grid interactive applications due to its simplicity and ease of implementation. Since the implementation of FCSMPC requires all possible switching states of the inverter, the computational burden is an important issue, which needs to be addressed while applying FCSMPC to the control of multilevel inverters. This letter proposes a novel "S" factor scheme for the FCSMPC implementation, which reduces complexity while controlling grid current and balancing the capacitor voltages in neutral point clamped three-level inverters. The proposed scheme is very easy to implement and can be extended to any higher level inverter without any additional effort. In this method, at every sampling instant, redundant switching states are chosen suitably and the predicted reference inverter voltage (PRIV) vector is derived from predicted grid voltage, predicted reference current, and the present value of the actual current. Subsequently, "S" factor scheme is applied to select the switching state, which is close to the PRIV vector. The selected switching state is then applied at the same sampling instant. The proposed scheme is experimentally compared with a recent FCSMPC algorithm to validate the performance.
In this paper, a new power control strategy based on a modelpredictive power control for the grid-tie three-level neutral point clamped inverter is presented. A dynamical model based on the orientation of grid voltag...
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In this paper, a new power control strategy based on a modelpredictive power control for the grid-tie three-level neutral point clamped inverter is presented. A dynamical model based on the orientation of grid voltage is used to predict the performance of control variables required for the system. A cost function that includes the tracking power ability, the neutral-point voltage balancing and switching frequency reduction is used to achieve the optimal switching state. A proposed selection scheme of control input is introduced to comprehend the stability of the closed-loop system and reduce the computational cost. At each sampling time, only candidate switching state inputs that guarantee the stability condition through a control Lyapunov function is evaluated in the cost function of the MPC algorithm. Thus, the execution time is remarkably decreased by 26% in comparison with traditional modelpredictivecontrol. Moreover, the dead-time effect is compensated by incorporating its influence in the proposed prediction model. Simulation and experimental results compared with the traditional modelpredictivecontrol are used to confirm the effectiveness of the proposed scheme.
This paper presents a five-level bi-directional flying capacitor DC-DC converter topology for energy management application in a DC microgrid. Unlike traditional two-level DC-DC converter, the presence of multiple fly...
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ISBN:
(纸本)9781728131535
This paper presents a five-level bi-directional flying capacitor DC-DC converter topology for energy management application in a DC microgrid. Unlike traditional two-level DC-DC converter, the presence of multiple flying capacitors in this topology brings the possibility of having a higher voltage-gain conversion ratio at enhanced efficiency. The existence of five voltage levels give the converter an advantage of having reduced voltage stress on its power switches and a low-sized inductor filter at its input. Additionally, the capability of having bi-directional power flow enables the converter to integrate energy storage devices such as the battery to a high voltage DC microgrid effectively. A finitecontrolset - modelpredictivecontrol (FCS-MPC) algorithm is formulated using the developed mathematical model in order to yield the multi-objective of bi-directional power flow and three flying capacitor voltage balancing. Furthermore, a DC microgrid comprising photo-voltaic (PV) system, load, and battery are considered to assess the effectiveness of the designed FCS-MPC algorithm under varying load and PV power injections.
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