Model-Based Predictive Current Controllers in Multiphase Drives Dealing with Natural Reduction of Harmonic Distortion

Martín, Cristina; Barrero, F.; Arahal, Manuel R.; Durán, Mario J.

doi:10.3390/en12091679

Cited by 5 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, a more natural way to face the harmonic problem consists of introducing the concept of non‐uniform sampling time as a new degree of freedom in the FCS‐MPC technique. The idea was firstly exposed in [142] for a three‐phase IM drive, but it has been further developed and extended to the five‐phase case in recent works [143–145], where the lead‐pursuit concept is incorporated reducing the complexity of the controller with respect to the original approach. The proposed control structure, named variable sampling time lead pursuit control (VSTLPC), is divided in two steps (see Fig.…”

Section: Future Prospects In the Mpc Fieldmentioning

confidence: 99%

Predictive current control in electrical drives: an illustrated review with case examples using a five‐phase induction motor drive with distributed windings

Bermúdez

Martín

González-Prieto

et al. 2020

IET Electric Power Applications

Self Cite

View full text Add to dashboard Cite

The industrial application of electric machines in variable‐speed drives has recently grown thanks to the development of microprocessors and power converters. Although three‐phase machines constitute the most common case, the interest of the research community is also focused on multiphase machines with more than three phases. The principal reason lies in the exploitation of their advantages such as reliability, better current distribution among phases or lower current harmonic in the converter, to name a few. Nevertheless, multiphase drive applications require the development of complex controllers to regulate the torque (or speed) and flux of the machine. In this regard, predictive current controllers have appeared as a viable alternative due to an easy formulation and high flexibility to incorporate different control objectives. It is found, however, that these controllers face some peculiarities and limitations in their use that require attention. This work attempts to tackle the predictive current control technique as a viable alternative for the regulation of multiphase drives, paying special attention to the development of the control technique and the discussion of the benefits and limitations. Case examples with experimental results using a symmetrical five‐phase induction machine with distributed windings are included to this end.

show abstract

Section: Future Prospects In the Mpc Fieldmentioning

confidence: 99%

Predictive current control in electrical drives: an illustrated review with case examples using a five‐phase induction motor drive with distributed windings

Bermúdez

Martín

González-Prieto

et al. 2020

IET Electric Power Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is well known that Model Based Predictive Control (MBPC) can be applied for this task in a configuration where the controller directly commands the inverter without modulation techniques [1]. This control scheme is a particular case of the more general Finite State Model Predictive Control and is often referred to as Predictive Current Control (PCC) [2][3][4]. Recently, PCC has received increasing attention as an interesting choice for multi-phase and/or multi-level systems.…”

Section: Introductionmentioning

confidence: 99%

Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

G.¹,

Arahal²,

Martín³

et al. 2019

Energies

Self Cite

View full text Add to dashboard Cite

The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x − y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x − y subspaces.

show abstract

“…17 Another MPCC method had been proposed to mitigate the generation of harmonic components in multiphase drives. 18 In addition, a model-free predictive current control (MFPCC) based on current extent and multiplied current variation was carried out for its feasibility. 19 Also, the MFPCC had been achieved in current difference detection methods.…”

Section: Introductionmentioning

confidence: 99%

Low cogging torque design and simplified model-free predictive current control for radial-flux dual three-phase permanent magnet electric machines

Lai

Chen

et al. 2019

Advances in Mechanical Engineering

View full text Add to dashboard Cite

This study presents two improved designs of eccentric-shaped permanent magnets and teeth-shaped stators in radial-flux dual three-phase permanent magnet electric machines to reduce cogging torque and torque ripple. The finite element analysis (ANSYS Electromagnetics) has been adopted in simulation, and real radial-flux dual three-phase permanent magnet electric machines have been fabricated in experiment to verify the study. Using the radial-flux dual three-phase permanent magnet electric machines in electric machine systems can improve the reliability and obtain higher output torque. In electrical drives and control, a simplified model-free predictive current control method has been proposed and implemented to drive the radial-flux dual three-phase permanent magnet electric machines, and the control law has been achieved by a TMS320F28377S microcontroller of Texas Instruments. The simplified model-free predictive current control method is senseless to parameter variations and back electromotive force of the permanent magnet electric machines, and only needs current sensors to detect six-phase current. The optimal one has been chosen by 14 various switching modes, which has the minimum cost function, and then the converter can be directly driven and controlled in the next sampling period. The features of the simplified model-free predictive current control method can reduce the algorithm calculation and avoid the defect of conventional model-based predictive current control scheme. A proportional-integral speed controller has also been designed to achieve the speed response of the fixed-speed tracking effect. Finally, the feasibility and effectiveness of the proposed simplified model-free predictive current control method for the dual three-phase permanent magnet electric machines can be verified in the experimental and quantitative results.

show abstract

Model-Based Predictive Current Controllers in Multiphase Drives Dealing with Natural Reduction of Harmonic Distortion

Cited by 5 publications

References 22 publications

Predictive current control in electrical drives: an illustrated review with case examples using a five‐phase induction motor drive with distributed windings

Predictive current control in electrical drives: an illustrated review with case examples using a five‐phase induction motor drive with distributed windings

Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

Low cogging torque design and simplified model-free predictive current control for radial-flux dual three-phase permanent magnet electric machines

Contact Info

Product

Resources

About