146 research outputs found
Assessment of a Universal Reconfiguration-less Control Approach in Open-Phase Fault Operation for Multiphase Drives
Multiphase drives have been important in particular industry applications where reliability is
a desired goal. The main reason for this is their inherent fault tolerance. Di erent nonlinear controllers
that do not include modulation stages, like direct torque control (DTC) or model-based predictive
control (MPC), have been used in recent times to govern these complex systems, including mandatory
control reconfiguration to guarantee the fault tolerance characteristic. A new reconfiguration-less
approach based on virtual voltage vectors (VVs) was recently proposed for MPC, providing a natural
healthy and faulty closed-loop regulation of a particular asymmetrical six-phase drive. This work
validates the interest in the reconfiguration-less approach for direct controllers and multiphase drives
Field Oriented Control of Multiphase Drives with Passive Fault-Tolerance
Multiphase machines provide continuous
operation of the drive with no additional hardware in the
event of one or more open-phase faults. This faulttolerant
capability is highly appreciated by industry for
security and economic reasons. However, the steadystate
post-fault operation has only been feasible in
previous works after the fault localization and control
reconfiguration. Even though this is done at the software
stage, the obligation to identify the faulty phases and
store the modifications for every fault scenario adds
further complexity. This work reveals that this software
reconfiguration can be avoided if the field-oriented
control (FOC) strategy is designed to satisfactorily
handle pre- and post-fault situations. Experimental
results confirm the capability to obtain suitable postfault
operation without fault localization and control
reconfiguration, thus achieving a passive/natural fault
tolerance.Ministerio de Ciencia, Innovación y Universidades RTI2018-096151-B-I0
Impact of post-fault flux adaptation on six-phase induction motor drives with parallel converters
The redundancy of multiphase drives
provides an inherent fault-tolerant capability that is
appreciated in applications with a complicated
corrective maintenance or safety-critical requirements.
Fault restrictions however force the system to be
reconfigured to operate in a smooth and efficient
manner. Previous works have been focused on the
optimization of current waveforms to generate an
undisturbed operation but still maintaining the pre-fault
rated flux settings. This work shows that efficient
controllers can improve the post-fault performance in
six-phase induction machines supplied by parallel-
connected converters if offline optimization is used to
obtain a variable reference flux. Theoretical and
experimental results confirm that the proposed flux
adaptation method provides higher torque/power
capability, lower degree of imbalance in the current
sharing between windings and efficiency improvementMinisterio de Ciencia e Innovación ENE2014-52536-C2-1-R DPI2013- 44278-RJunta de Andalucía P11-TEP-755
An open-phase fault detection method for six-phase induction motor drives
Malaga (Spain), 4th to 6th April, 2017
Comunicaciones del Congreso Publicadas en: Renewable Energy and Power Quality Journal (RE&PQJ) ISSN 2172 038X, No.15 April 2017Induction machines (IM) with multiple sets
of three-phase windings are a real alternative in safety-
critical applications due to their inherent redundancy
and extra number of freedom degrees. These
properties
can be used to devel
op
a fault-tolerant system without
extra hardware. The fault detection is mandatory
in
the creation of a fault tolerant system. Since, the fault
localization allows to adapt the control scheme of this
anomalous mode of operation. Nowadays, open-phase
faults (OPFs) and six-phase IMs are hot topics in the
literature
of fault-tolerant drives. Thus, this paper
presents an open-phase fault detection method for
a
six-phase IM drive
. The detection method is based o
n
the vector space decomposition (VSD), taking the
components of the secondary orthogonal subspace to
localize the open-phase fault. The goodness of the
proposed method is validated with simulation resultsMinisterio de Ciencia e Innovacion ENE2014-52536-C2–1-
Multiphase Current Imbalance Localization Method Applied to Natural Fault- Tolerant Strategies
Multiphase machines are interesting options for high-reliability applications due to their inherent fault tolerance
against open-circuit faults (OCFs). Moreover, if the regulation of the x-y currents is realized in open-loop mode using virtual
voltage vectors (VVs), the mandatory post-fault control reconfiguration is avoided. The new reconfiguration-less approach
was recently defined as a natural/passive fault-tolerant strategy, offering good prospects for industry applications. This work
extends the idea to the fault detection (FD) procedure and suggests new settings for the current imbalance localization (CIL)
method. The proposal is based on the vector space decomposition (VSD) approach that allows the joint detection of OCFs
and stator resistances dissymmetry (RDs). Experimental results in a five-phase induction motor (IM) drive using VVs confirm
the viability of the technique
Fault-tolerant Operation of Six-phase Energy Conversion Systems with Parallel Machine-side Converters
The fault tolerance provided by multiphase machines
is one of the most attractive features for industry applications
where a high degree of reliability is required. Aiming to take advantage of such postfault operating capability, some newly designed
full-power energy conversion systems are selecting machines with
more than three phases. Although the use of parallel converters
is usual in high-power three-phase electrical drives, the fault tolerance of multiphase machines has been mainly considered with
single supply from a multiphase converter. This study addresses
the fault-tolerant capability of six-phase energy conversion systems supplied with parallel converters, deriving the current references and control strategy that need to be utilized to maximize
torque/power production. Experimental results show that it is possible to increase the postfault rating of the system if some degree
of imbalance in the current sharing between the two sets of threephase windings is permitted.Ministerio de Ciencia e Innovación ENE2014-52536-C2–1-R DPI2013-44278-RJunta de Andalucía P11-TEP-755
Does the plant defense priming compound β-aminobutyric acid affect the performance of Macrolophus pygmaeus when used to control Bemisia tabaci in tomato?
The β-aminobutyric acid (BABA) is a plant defense priming compound highly effective in controlling important tomato diseases and plant-parasitic nematodes. It has also been shown to induce resistance against phytophagous insects such as aphids. This study examines the effect of BABA on the performance of the tomato pest Bemisia tabaci (MEAM 1, previously known as Biotype B) and its zoophytophagous predator Macrolophus pygmaeus under laboratory and greenhouse conditions. Tomato plants were treated with BABA 25 mM applied by soil drenching. The effect of BABA on the fertility and juvenile development of two generations of B. tabaci and M. pygmaeus was evaluated. Our results showed no effect of BABA on the juvenile development or adult fecundity/fertility of both the whitefly and its predator. The non-interference of BABA with M. pygmaeus and B. tabaci assures that the control of the whitefly with this mirid bug will not be affected when this elicitor is applied to the crop. Further studies are needed to clarify the mechanisms underlying BABA-plant-whitefly-predatory myrids interactions.info:eu-repo/semantics/acceptedVersio
Model Predictive Control based on Dynamic Voltage Vectors for Six-phase Induction Machines
Model predictive control (MPC) has been recently
suggested as an interesting alternative for the regulation of
multiphase electric drives because it easily exploits the inherent
advantages of multiphase machines. However, the standard
MPC applies a single switching state during the whole sampling
period, inevitably leading to an undesired x y voltage production.
Consequently, its performance can be highly degraded when the
stator leakage inductance is low. This shortcoming has been,
however, mitigated in recent work with the implementation
of virtual/synthetic voltage vectors (VVs) in MPC strategies.
Their implementation reduces the phase current harmonic
distortion since the average x y voltage production becomes
null. Nevertheless, VVs have a static nature because they are
generally estimated offline, and this implies that the flux/torque
regulation is suboptimal. Moreover, these static VVs also present
some limitations from the point of view of the dc-link voltage
exploitation. Based on these previous limitations, this article
proposes the implementation of dynamic virtual voltage vectors
(DVVs), where VVs are created online within the MPC strategy.
This new concept provides an online optimization of the output
voltage production depending on the operating point, resulting
in an enhanced flux/torque regulation and a better use of the
dc-link voltage. Experimental results have been employed to
assess the goodness of the proposed MPC based on DVVs.Ministerio de Ciencia, Innovación y Universidades RTI2018-096151-B-100
Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines
Multiphase machines are complex multi-variable electro-mechanical systems that are
receiving special attention from industry due to their better fault tolerance and power-per-phase
splitting characteristics compared with conventional three-phase machines. Their utility and
interest are restricted to the definition of high-performance controllers, which strongly depends
on the knowledge of the electrical parameters used in the multiphase machine model. This work
presents the proof-of-concept of a new method based on particle swarm optimization and standstill
time-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phase
induction machine. A reduction of the estimation error higher than 2.5% is obtained compared with
gradient-based approaches.Plan Estatal 2013-2016 Retos - Proyectos I+D+i DPI2013-44278-RPlan Estatal 2013-2016 Retos - Proyectos I+D+i DPI2016-76144-
Open-phase fault operation on multiphase induction 3 motor drives
Hugo Guzman, Ignacio Gonzalez, Federico Barrero and Mario Durán (2015). Open-Phase Fault Operation on Multiphase Induction Motor Drives, Induction Motors - Applications, Control and Fault Diagnostics, Dr. Raul Gregor (Ed.), ISBN: 978-953-51-2207-4, InTech, DOI: 10.5772/60810. Available from: http://www.intechopen.com/books/induction-motors-applications-control-and-fault-diagnostics/open-phase-fault-operation-on-multiphase-induction-motor-drivesMultiphase machines have been recognized in the last few years like an attractive alternative to conventional three-phase ones. This is due to their usefulness in a niche of applications where the reduction in the total power per phase and, mainly, the high overall system reliability and the ability of using the multiphase machine in faulty conditions are required. Electric vehicle and railway traction, all-electric ships, more-electric aircraft or wind power generation systems are examples of up-to-date real applications using multiphase machines, most of them taking advantage of the ability of continuing the operation in faulty conditions. Between the available multiphase machines, symmetrical five-phase induction machines are probably one of the most frequently considered multiphase machines in recent research. However, other multiphase machines have also been used in the last few years due to the development of more powerful microprocessors. This chapter analyzes the behavior of generic n-phase machines (beingn any odd number higher than 3) in faulty operation (considering the most common faulty operation, i.e. the open phase fault). The obtained results will be then particularized to the 5-phase case, where some simulation and experimental results will be presented to show the behavior of the entire system in healthy and faulty conditions. The chapter will be organized as follows: First, the different faults in a multiphase machine are analyzed. Fault conditions are de tailed and explained, and the interest of a multiphase machine in the management of faults is stated. The effect of the open-phase fault operation in the machine model is then studied. A generic n-phase machine is considered, being n any odd number greater than three. The analysis is afterwards particularized to the 5-phase machine, where the open phase fault condition is managed using different control methods and the obtained results are compared. Finally, the conclusions are presented in the last section of the chapter
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