Model predictive controlPrediction horizonControl horizonCost functionElectrical drives play a vital role in industrial and domestic applications,so the controllers of these drives must be more efficient and easy to control.Conventional control methods are well established and nearly fulfill all demands of...
Good control of the screw rotating speed is vital when using multi-setpoint and ramp setpoint speed profiles during screw recovery. In addition, the controller should be adaptable for different plastic materials for minimizing overshoot and achieving a fast setting time. A predictive speed controller ...
Oliver Konig, Gregor Gregorc, Stefan Jakubek, "Model predictive control of a DC-DC converter for battery emulation", Control Engineering Practice, Vol. 21 pp. 428-440, 2013.Konig, O., Gregorcic, G.,& Jakubek, S. (2013), "Model predictive control of a DC-DC converter for battery ...
A model predictive control (MPC) approach for buck DC-DC converter is presented.the latter is based on the discrete model of converter 인용 양식 Abdelkader Merah (2024). Model Predictive Control of Buck DC-DC Converter (https://www.mathworks.com/matlabcentral/fileexchange/64992-model...
AC-DC-AC converter-fed induction motor (IM) drive is mainly realized by back-to-back three-phase converters. However, fault in a single semiconductor switch will make it inoperative. To enable continued controllable operation in case of the faults occurring in the converter, the five-leg conver...
Model predictive control of a DC–DC converter for battery emulation A battery emulator is used instead of a real traction battery to supply an electric motor inverter on a test bed for hybrid and electric powertrains under ... OKG Jakubek - 《Control Engineering Practice》 被引量: 19发表: ...
Two-Stage Model Predictive Control of Neutral-Point-Clamped Inverter-Fed Permanent-Magnet Synchronous Motor Drives Under Balanced and Unbalanced DC Links Controlling a three-level neutral-point-clamped (3L-NPC) inverter-fed permanent-magnet synchronous machine (PMSM) drive is a challenging task, especia...
This paper presents an approach towards learning enhanced motion control of DC motor,suitable for applications involving repeated iterations of motion trajectories.The overall structure of the control consists of a feedback and a feed- forward components.The model-free learnmg adaptive feedback control...
This paper proposes a novel method to reduce switching losses on the basis of a model-predictive direct power control (MPDPC) method for ac-dc active rectifiers. The main idea is to preselect voltage vectors to decrease switching losses at the next sampling period, and then select one optimum...
The estimated disturbance is added into the system model of the LMPC controller design. The low speed control problem of the permanent magnet DC (PMDC) motor is studied. The simulation results show that this method can obtain satisfied control performance and the ESO can estimate the uncertain ...