Deadbeat Control for Electrical Drives: A Robust and Performant Design Based on Differential Flatness

Stumper, Jean-François; Hagenmeyer, Veit; Kuehl, Sascha; Kennel, Ralph

doi:10.1109/tpel.2014.2359971

Cited by 69 publications

(31 citation statements)

References 20 publications

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“…In practice, performance of the predictive controller is affected by delay due to calculation in the digital signal processor, gate drivers, and non-ideal switches [20], [27]. Delay due to computational time is the most important parameter [20].…”

Section: Fault-tolerant Fcs-mpc Of a Five-phase Bldc Motormentioning

confidence: 99%

“…Delay due to computational time is the most important parameter [20]. This delay can be compensated by calculating the reference voltage so that the current at the end of next sampling period (i.e.…”

Section: Fault-tolerant Fcs-mpc Of a Five-phase Bldc Motormentioning

confidence: 99%

“…To further improve the controller performance, calculation delay is compensated. A new deadbeat controller based on feedback and feed forward linearization is presented in [20]; this method has a high dynamic response, at the same time it is robust to parameter uncertainties and disturbances.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

Salehifar

Moreno-Eguilaz²,

Putrus

et al. 2016

Electric Power Systems Research

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Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) Abstract -Multiphase brushless direct current (BLDC) motors can meet the increasing demand for higher reliability in motor drives applicable in electric vehicles by integrating fault diagnosis to a faulttolerant (FT) control method. To achieve this goal, a modified FT finite control set model predictive control (FCS-MPC) is proposed in this paper. The dead beat control is used to predict the reference voltage applied by the inverter. A sensitivity analysis is done to show the effect of model uncertainty on the controller performance. In addition, a simple, fast and general open switch and short circuit fault detection (FD) method in voltage source inverter (VSI) is presented. The FD method is capable of detecting open switch, open phase, and short circuit faults without any auxiliary variable. Moreover, it is robust to both speed and load transients in a motor drive. To validate the presented theory, experimental results are conducted on a five-phase BLDC motor drive with outer rotor in wheel structure.

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Section: Fault-tolerant Fcs-mpc Of a Five-phase Bldc Motormentioning

confidence: 99%

Section: Fault-tolerant Fcs-mpc Of a Five-phase Bldc Motormentioning

confidence: 99%

See 1 more Smart Citation

Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

Salehifar

Moreno-Eguilaz²,

Putrus

et al. 2016

Electric Power Systems Research

View full text Add to dashboard Cite

show abstract

“…However, time-varying disturbances are not handled well by the disturbance estimator. If the disturbance estimator is made fast, performance is increased at the cost of robustness, and the stability limit drops to (typically) 75% parameter error [22].…”

Section: Introductionmentioning

confidence: 99%

“…There is one sampling step for analog-to-digital (A/D) conversion of the feedback signal and another for inverter pulse-width-modulation (PWM) outputs. The delay is manifested by a computational delay and should be compensated; otherwise, oscillations appear [22]. This delay can be compensated using a famous and simple prediction algorithm called the Smith predictor [23].…”

Section: Introductionmentioning

confidence: 99%

Improved Direct Deadbeat Voltage Control with an Actively Damped Inductor-Capacitor Plant Model in an Islanded AC Microgrid

2016

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Abstract:A direct deadbeat voltage control design method for inverter-based microgrid applications is proposed in this paper. When the inductor-capacitor (LC) filter output voltage is directly controlled using voltage source inverters (VSIs), the plant dynamics exhibit second-order resonant characteristics with a load current disturbance. To effectively damp the resonance caused by the output LC filter, an active damping strategy that does not cause additional energy loss is utilized. The proposed direct deadbeat voltage control law is devised from a detailed, actively damped LC plant model. The proposed deadbeat control method enhances voltage control performance owing to its better disturbance rejection capability than the conventional deadbeat or proportional-integral-based control methods. The most important advantage of the proposed deadbeat control method is that it makes the deadbeat control more robust by bringing discrete closed-loop poles closer to the origin. Simulation and experimental results are shown to verify the enhanced voltage control performance and stability of the proposed voltage control method.

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Novel Adaptive Control Strategies for Permanent Magnet Synchronous Generator Based Wind Power Generation

Xing¹,

Xing²,

Cao³

et al. 2022

Lecture Notes in Electrical Engineering

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Deadbeat Control for Electrical Drives: A Robust and Performant Design Based on Differential Flatness

Cited by 69 publications

References 20 publications

Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

Improved Direct Deadbeat Voltage Control with an Actively Damped Inductor-Capacitor Plant Model in an Islanded AC Microgrid

Novel Adaptive Control Strategies for Permanent Magnet Synchronous Generator Based Wind Power Generation

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