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| 1 | Predictive Field-Oriented Control for Electric Drives显示文摘Model predictive field-oriented control(PFOC)is a novel control strategy belonging to the class of finite control set model predictive control(FCS-MPC)for electric drive systems.It is a direct control scheme which minimizes the cost function through the convergence of errors between the given and predictive stator currents.In this paper,PFOC is thoroughly presented and analyzed through its dynamics and steady state operations under wide range of speed and varying torque conditions.In light of PFOC’s model based characteristics,its robustness an d influence under model parameters’mismatch is also investigated.Experiments are conducted to show these performance and sensitivities. | Fengxiang Wang Xuezhu Mei Peng Tao Ralph Kennel Jose Rodriguez | 2017 | Chinese Journal of Electrical Engineering2017，3，1： | 3 |
| 2 | 基于集成优化的感应电机无权重系数预测转矩控制显示文摘预测转矩控制作为一种新兴的控制策略,通过计算目标函数中的转矩与磁链误差,选取最优开关状态,近年来被广泛应用于交流调速电机系统。与传统的矢量控制相比,预测转矩控制具有动态响应快、开关频率低等优势。为统一目标函数中不同误差项的量纲,预测转矩控制需要设计系数用于调节转矩与磁链误差的权重。然而,依据经验设计的权重系数难以适应不同工况条件。针对以上问题,该文提出一种基于集成优化结构的无权重系数预测转矩控制策略。该控制策略同时优化转矩与磁链误差项,分别得到3个转矩最优与磁链最优的开关状态序列,通过集成优化算法求解最优开关状态。实验结果表明,基于集成优化的无权重系数预测转矩控制在多种工况下具备较好的稳态与动态性能。 | 谢昊天 汪凤翔 柯栋梁 唐莹 Kennel Ralph | 2022 | 电工技术学报2022，37，12： | 3 |
| 3 | Predictive Control in Power Electron- ics and Drives 显示文摘 | Patricio Cortes Marian P Kazmierkowski Ralph M Kennel | 2008 | IEEE Transactions on Industrial Electronics2008，55，12： | 1 |
| 4 | Model predictive control for electrical drives 显示文摘 | ARNE LINDER RALPH KENNEL | 2005 | Power Electronics Specialists Conference2005，36，： | 1 |
| 5 | Predictive control in power electronics and drives 显示文摘 | CORTES Patricio KAZMIERKOWSKI Marian P KENNEL Ralph M | 2008 | IEEE Transactions on Industrial Electronics2008，55，12： | 1 |
| 6 | Direct Power Control Based on Dead-beat Function and Extended Kalman Filter for PV Systems显示文摘In this paper,a new proposal for the implementation of the well-known direct power control(DPC)technique in grid-connected photovoltaic(PV)systems is suggested.Normally,the DPC is executed using a look-up table procedure based on the error between the actual and reference values of the active and reactive power.Thus,the structure of the DPC is simple and results in a fast transient behavior of the inner current loop(injected currents).Therefore,in the current study,the DPC is reformulated using a dead-beat function.In this formulation,the reference voltage vector(RVV)is obtained in theα-βreference frame.Consequently,the switching states for the inverter can be obtained based on the sign of the components of the RVV.The suggested DPC is compared with the conventional one and other switching tables,which are intended for performance enhancement.Furthermore,an extended Kalman filter(EKF)is utilized to eliminate all grid-voltage sensors.Moreover,the switching frequency of the proposed technique is minimized without any need for weighting factors or cost function evaluation.The overall control technique is validated using a hardware-in-the-loop(HIL)experimental set-up and compared with other schemes under different operating conditions. | Mostafa Ahmed Ibrahim Harbi Ralph Kennel Mohamed Abdelrahem | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，3： | 0 |
| 7 | Model Predictive Control for Electrical Drive Systems-An Overview显示文摘This paper reviews the classification and application of the model predictive control(MPC)in electrical drive systems.Main attention is drawn to the discrete form of MPC,i.e.finite control set model predictive control(FCS-MPC),which outputs directly the switching states of power converters.To show the diversity and simple realization with various control performances of the strategy,in this paper,several different FCS-MPCs with their working mechanisms are introduced.Comparison of FCS-MPC with conventional control strategies for electric drives is presented.Furthermore,extensive control issues,e.g.encoderless control and disturbance observation are also included in this work.Finally,the trend of research hot topics on MPC is discussed. | Fengxiang Wang Xuezhu Mei JoséRodríguez Ralph Kennel | 2017 | CES Transactions on Electrical Machines and Systems2017，1，3： | 0 |
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