A Comparison of Model Predictive Control Schemes for MV Induction Motor Drives

Scoltock, James; Geyer, Tobias; Madawala, Udaya K.

doi:10.1109/tii.2012.2223706

Cited by 121 publications

(42 citation statements)

References 21 publications

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“…Recently, computationally efficient multi-step FCS-MPC technique has been proposed by adapting sphere decoding principles to solve the optimization problem [52]. A comparison between classical and MPC algorithms is reported in [53]- [54].…”

Section: B Predictive Controlmentioning

confidence: 99%

A Survey of Low Switching Frequency Modulation Techniques for Medium-Voltage Multilevel Converters

Edpuganti

Rathore

2015

IEEE Trans. on Ind. Applicat.

159

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Multilevel converters (MLCs) have emerged as standard power electronic converters for medium voltage high power industrial applications. Owing to dominating device switching losses in high power applications, it is preferable to use low device switching frequency (LDSF) modulation techniques. Then, it is possible to achieve higher device utilization, higher converter efficiency and reduced cooling requirements. However, there exists a trade-off between device switching frequency and harmonic distortion of converter output currents. Therefore, the main challenge for LDSF modulation techniques is to minimize the harmonic distortion of output currents. The goal of this paper is to provide a review of various LDSF modulation techniques proposed in the literature and also discuss in detail about one of the the emerging LDSF control techniques known as synchronous optimal pulsewidth modulation. Finally, challenges to LDSF modulation techniques for emerging multilevel topologies and future trends in applications of MLCs are discussed to motivate further research, to enhance proposed LDSF techniques and to explore for new alternatives.

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Section: B Predictive Controlmentioning

confidence: 99%

A Survey of Low Switching Frequency Modulation Techniques for Medium-Voltage Multilevel Converters

Edpuganti

Rathore

2015

IEEE Trans. on Ind. Applicat.

159

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“…where s 1 and s 2 are the torque slopes of the active vector and the zero vector, which can be easily obtained from (11). It should be noted that t opt is limited to the range of (0,T sc ) in practical application.…”

Section: Torque Ripple Minimizationmentioning

confidence: 99%

“…Among the variations of MPC, some are designed especially for high power medium voltage drives with very limited switching frequency (usually a few hundred hertz) [8], [11]. As both switching frequency reduction and performance improvement (low distortion in current and torque) are of concern, the torque and stator flux are usually controlled to operate within a certain hysteresis bounds.…”

Section: Introductionmentioning

confidence: 99%

Torque ripple reduction of model predictive torque control of induction motor drives

Zhang

Yang

2013

2013 IEEE Energy Conversion Congress and Exposition

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Model predictive torque control (MPTC) has been proposed as an effective alternative to conventional direct torque control (DTC) for induction motor (IM) drives. Compared to DTC, MPTC is more effective and accurate in the vector selection by incorporating the system model directly with the finite switching states. However, due to the limited switching states in two-level inverter, applying only one voltage vector during one control period fails to reduce the torque ripple to the minimum value. This paper proposes an improved MPTC for the aim of torque ripple reduction by allocating only a fraction of control period to the active vector selected from conventional MPTC, while the rest of time is allocated for a null vector. The duration of the active vector is obtained based on the principle of torque ripple minimization. Presented simulation and experimental results prove that, compared to conventional MPTC, the proposed MPTC achieves better steady state performance by reducing both torque ripples and current harmonics. Meanwhile, the quick dynamic response of conventional MPTC is reserved.

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“…The authors of the work in [29] [31], [32] developed an MPC scheme to control the speed of a PMSM drive system. The performance of the proposed controller is compared with a classical PI controller and tested by MATLAB/ADAMS simulation platform.…”

Section: Introductionmentioning

confidence: 99%

The study of model predictive control algorithm based on the force/position control scheme of the 5-DOF redundant actuation parallel robot

Wen

Qin

Zhang

et al. 2016

Robotics and Autonomous Systems

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. (2016). The study of model predictive control algorithm based on the force/position control scheme of the 5-DOF redundant actuation parallel robot. Robotics and Autonomous Systems. DOI: 10.1016DOI: 10. /j.robot.2016 Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections. General rightsCopyright and moral rights for the publications made accessible in the Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognize and abide by the legal requirements associated with these rights.•Users may download and print one copy of any publication from the Research Portal for the purpose of private study or research.•You may not further distribute the material or use it for any profit-making activity or commercial gain •You may freely distribute the URL identifying the publication in the Research Portal Take down policy If you believe that this document breaches copyright please contact librarypure@kcl.ac.uk providing details, and we will remove access to the work immediately and investigate your claim. AbstractRedundant actuated parallel robot is a multi-input and multi-output (MIMO) system which usually works in an uncertain environment. In this paper, the force/position hybrid control structure of 6PUS-UPU redundant actuation parallel robot is designed, proportional-integral (PI) and model predictive control (MPC) cascade control strategy are used in the redundant branch of 6PUS-UPU redundant actuation parallel robot. The MPC algorithm is used in the current loop of the permanent magnet synchronous motor (PMSM) to restrain the motor parameter uncertainty and external disturbances influence on motor control. The MATLAB/ADAMS joint simulation method based on virtual 6PUS-UPU redundant actuation parallel robot prototype is used to test the performance of the proposed control strategy. The performance of proposed PI-MPC control strategy is compared with the traditional PI-PI control strategy. The simulation results show that the MPC controller can improve the tracking ability of the motor torque, guarantee the system robustness under the parameter variations and load disturbance environment.

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A Comparison of Model Predictive Control Schemes for MV Induction Motor Drives

Cited by 121 publications

References 21 publications

A Survey of Low Switching Frequency Modulation Techniques for Medium-Voltage Multilevel Converters

A Survey of Low Switching Frequency Modulation Techniques for Medium-Voltage Multilevel Converters

Torque ripple reduction of model predictive torque control of induction motor drives

The study of model predictive control algorithm based on the force/position control scheme of the 5-DOF redundant actuation parallel robot

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