Motor drives and other electrical systems include a variety of electrical components, such as capacitors, inductors, resistors, etc., often employed in filter circuits. For instance, active front-end rectifiers for motor drives and other power conversion systems often include LC or LCL filters with individual inductive and capacitive components. Performance of these input filters depends at least partially on provision of the designed device impedance value, wherein impedance changes and/or imbalance between corresponding components in multiphase power distribution systems can lead to adverse performance, including loss of efficiency, instability, increased noise, etc. In addition to motor drives and power conversion systems, electrical systems generally operate best when passive electrical component values are at their proper designed impedance values. Accordingly, diagnosing system performance issues often involves assessing the impedance values of various electrical components. Manual impedance measurement is often difficult and time-consuming, and previous in situ impedance measurement techniques suffer from computation complexity preventing or inhibiting real-time automatic device impedance scrutiny while the overall system is operating. Moreover, conventional measurement techniques may be incapable of measuring certain component impedance values under real-life operating conditions, such as inductor impedance during saturation. In addition, it is often desired to obtain impedance values corresponding to different frequencies, and conventional approaches often involve significant manual testing efforts and/or excessive computational overhead for Fourier analysis and the like. Accordingly, a need remains for improved methods and apparatus for determining the impedance of electrical components.
One or more aspects of the present disclosure are now summarized to facilitate a basic understanding of the disclosure, wherein this summary is not an extensive overview of the disclosure, and is intended neither to identify certain elements of the disclosure, nor to delineate the scope thereof. Rather, the primary purpose of this summary is to present various concepts of the disclosure in a simplified form prior to the more detailed description that is presented hereinafter.
Generalized impedance detection apparatus and techniques are disclosed by which the impedance of any passive electrical component can be accurately identified at any given frequency using the applied voltage and current flowing through the component. The concepts of the present disclosure may be employed in any electrical system, including without limitation motor drives and power converters, and may be implemented in any processor-based system such as in a motor drive or PLC or other industrial control device or supervisory host system for diagnostic and/or control purposes.
One or more aspects of the present disclosure involve methods and systems for automatically determining the impedance of an electrical component, in which quadrature voltage values and quadrature current values associated with the component are obtained at a frequency of interest, and one or more impedance values are computed at the frequency of interest according to the quadrature voltage and current values using one or more processors. The quadrature values can be obtained at a given frequency of interest using quadrature tracking filters with corresponding frequency inputs, as well as inputs receiving signals or values representing measured, estimated and/or observed voltages and currents associated with the component of interest. A PLL or other source may be used to provide an adjustable frequency input to the tracking filters to facilitate measurement of component impedance at multiple frequencies of interest. The various embodiments can be used to assess impedances of banks of capacitors or inductors associated with multiphase systems, and may involve converting one or more detected voltage or current signals to accommodate various in-line, line-line and/or line-neutral connections of components and sensors. Further aspects of the disclosure provide non-transitory computer readable mediums with computer executable instructions for performing the disclosed impedance detection methods.
The following description and drawings set forth certain illustrative implementations of the disclosure in detail, which are indicative of several exemplary ways in which the various principles of the disclosure may be carried out. The illustrated examples, however, are not exhaustive of the many possible embodiments of the disclosure. Other objects, advantages and novel features of the disclosure will be set forth in the following detailed description when considered in conjunction with the drawings, in which:
Referring now to the figures, several embodiments or implementations are hereinafter described in connection with the drawings, wherein like reference numerals are used to refer to like elements throughout, and wherein the various features are not necessarily drawn to scale.
Referring initially to
The process 2 of
In the example of
Any suitable quadrature tracking filters 40 can be used in accordance with the present disclosure, non-limiting suitable examples of which are illustrated and described in US patent application publication number 2013/0120038 A1 to Kerkman et al., published May 16, 2013, and assigned to the assignee of the present application, the entirety of which is hereby incorporated by reference. As seen in
As further shown in
Returning to
One embodiment of the impedance value computation 20 is illustrated in
At 25 In
Zx_real(Vmag/Imag)cos(δ); and
Zx_imag=(Vmag/Imag)sin(δ).
The process 2 may be repeated for one or more further electrical components in a given system, and/or the base frequency signal or value 49 (ωbase) may be adjusted one or more times in order to estimate the component impedance(s) at different frequencies of interest. For example, a supervisory control component may selectively adjust the frequency signal or value 49 provided to the quadrature tracking filters 40, with the processor 32 executing the impedance computation component 36 again to obtain a different set of frequency-specific real and imaginary impedance values 50a and 50b for various frequencies of interest. This, in turn, allows diagnosis of the relative health of a given electrical component 42 of interest. Moreover, the system 30 and the process 2 may be used to ascertain the impedance 50 of multiple components of a given system, at one or more frequencies of interest, in order to allow comparison of multiple electrical components 42.
Referring also to
In the example of
As seen in
The impedance value or values 50 provided by the impedance detection system 30 may be used for any suitable control purpose and/or diagnostic purposes in operation of the motor drive 110. Certain implementations may involve automatic detection of the impedance values of the filter inductor and capacitor components, individually or in groups, and the controller 160 may implement various diagnostic functionality, such as providing one or more base frequency signals or values 49 to the impedance detection system 30, obtaining corresponding impedance values 50 at corresponding frequency values 49, and comparing the estimated impedance(s) 50 with one or more threshold values or ranges, and issuing diagnostic messaging to connected supervisory control components of a distributed control system to initiate remedial action, and/or to modify or discontinue operation of the motor drive 110. For example, comparative analysis by the system 30 may indicate actual impedances of the inductors of the filter 120, as well as imbalance between these components by analyzing the inductors of different phases of the motor drive. Moreover, the impedance detection system and the above-described techniques can be used to detect inductor saturation during overload conditions. Moreover, the technique can be adjusted by changing the base frequency input signal 49 to estimate one or more system impedances at a selected frequency or at multiple frequencies. Thus, the system 30 can be used in motor drives 110 as well as in any application in which real-time impedance detection is useful.
As seen in
Other embodiments are possible, as seen in
As further seen in
A conversion component 39 is provided in
In some embodiments, the quadrature tracking filters 40 may be replaced by a quadrature signal generator using a suitable transformer, such as a Hilbert transformer, or a transport delay block suitable for 90° shifting of the phase of the voltage or current signal or value provided as an input to generate the quadrature voltage or current outputs for use in the above described impedance computations. The tracking filters 40 or other suitable quadrature signal generating circuitry may generate the quadrature values Vaα, Vaβ, Iaα and Iaβ using any suitable algorithm which may output a quadrature pair of values. Furthermore, the quadrature tracking filters 40 may generate the quadrature values from a single-phase voltage or current input, or from an n-phase (any number of phases) voltage or current input, with or without intervening conversion components 39 as needed to assess the impedance values of a given electrical component 42 of interest. In certain embodiments, the quadrature tracking filters 40 may individually store or otherwise implement algorithms to perform either single input, multiple output quadrature tracking, or multiple input, multiple output quadrature tracking, depending on the inputs received. In some embodiments, the quadrature tracking filters 40 may include processing components for determining the appropriate algorithms to apply on the received measurements or estimates 46, 48, and/or the quadrature tracking filters 40 may include or otherwise implement processing components for applying all algorithms on the received inputs 46, 48.
The above examples are merely illustrative of several possible embodiments of various aspects of the present disclosure, wherein equivalent alterations and/or modifications will occur to others skilled in the art upon reading and understanding this specification and the annexed drawings. In particular regard to the various functions performed by the above described components (assemblies, devices, systems, circuits, and the like), the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component, such as hardware, processor-executed software, or combinations thereof, which performs the specified function of the described component (i.e., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the illustrated implementations of the disclosure. In addition, although a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Also, to the extent that the terms “including”, “includes”, “having”, “has”, “with”, or variants thereof are used in the detailed description and/or in the claims, such terms are intended to be inclusive in a manner similar to the term “comprising”.
Number | Name | Date | Kind |
---|---|---|---|
4419621 | Becker | Dec 1983 | A |
4697930 | Roberts | Oct 1987 | A |
4721916 | Hanasawa | Jan 1988 | A |
4935692 | Wakasugi | Jun 1990 | A |
5319513 | Lowenstein et al. | Jun 1994 | A |
5491725 | White | Feb 1996 | A |
5796258 | Yang | Aug 1998 | A |
5804973 | Shinohara | Sep 1998 | A |
5931836 | Hatta | Aug 1999 | A |
6002238 | Champlin | Dec 1999 | A |
6166929 | Ma et al. | Dec 2000 | A |
6269010 | Ma et al. | Jul 2001 | B1 |
6366483 | Ma et al. | Apr 2002 | B1 |
6525951 | Paice | Feb 2003 | B1 |
6642689 | Ishida et al. | Nov 2003 | B2 |
6667866 | LaPlace | Dec 2003 | B1 |
7274576 | Zargari et al. | Sep 2007 | B1 |
7309973 | Garza | Dec 2007 | B2 |
7495410 | Zargari et al. | Feb 2009 | B2 |
7495938 | Wu et al. | Feb 2009 | B2 |
7511976 | Zargari et al. | Mar 2009 | B2 |
7602127 | Coumou | Oct 2009 | B2 |
7616005 | Kalyuzhny et al. | Nov 2009 | B2 |
7683568 | Pande et al. | Mar 2010 | B2 |
7764523 | Conticelli et al. | Jul 2010 | B2 |
7782009 | Wiseman | Aug 2010 | B2 |
7786735 | Kalyuzhny et al. | Aug 2010 | B2 |
7800348 | Zargari | Sep 2010 | B2 |
7812615 | Gajic et al. | Oct 2010 | B2 |
7818137 | Agarwal | Oct 2010 | B2 |
7990097 | Cheng et al. | Aug 2011 | B2 |
8009450 | Royak et al. | Aug 2011 | B2 |
8030791 | Lang et al. | Oct 2011 | B2 |
8044631 | Dai et al. | Oct 2011 | B2 |
8183874 | Dommaschk | May 2012 | B2 |
8259426 | Xiao et al. | Sep 2012 | B2 |
8259480 | Hasler | Sep 2012 | B2 |
8350397 | Lang et al. | Jan 2013 | B2 |
8352203 | Seibel et al. | Jan 2013 | B2 |
8395910 | Alexander | Mar 2013 | B2 |
8400800 | Alexander | Mar 2013 | B2 |
8587160 | Dai et al. | Nov 2013 | B2 |
8643383 | Xiao | Feb 2014 | B2 |
8648610 | Mikami | Feb 2014 | B2 |
8698507 | Huang | Apr 2014 | B2 |
8729844 | Feng et al. | May 2014 | B2 |
20010017489 | Inoue et al. | Aug 2001 | A1 |
20040257093 | Sakiyama | Dec 2004 | A1 |
20050192765 | Slothers | Sep 2005 | A1 |
20070043303 | Osypka | Feb 2007 | A1 |
20090048595 | Mihori | Feb 2009 | A1 |
20090072982 | Cheng et al. | Mar 2009 | A1 |
20100161259 | Kim et al. | Jun 2010 | A1 |
20110169462 | Andresen | Jul 2011 | A1 |
20120095461 | Herscher | Apr 2012 | A1 |
20120271572 | Xiao | Oct 2012 | A1 |
20130057297 | Cheng | Mar 2013 | A1 |
20130076151 | Bae et al. | Mar 2013 | A1 |
20130120038 | Kerkman et al. | May 2013 | A1 |
20130120039 | Kerkman et al. | May 2013 | A1 |
20130279214 | Takase et al. | Oct 2013 | A1 |
20130286692 | Patel et al. | Oct 2013 | A1 |
20140012552 | Zik | Jan 2014 | A1 |
20140217980 | Malrieu | Aug 2014 | A1 |
20140320056 | Royak | Oct 2014 | A1 |
20140326340 | Kuriki | Nov 2014 | A1 |
20150092460 | Tallam | Apr 2015 | A1 |
20150155794 | Long | Jun 2015 | A1 |
20150241503 | Bhandarkar | Aug 2015 | A1 |
20150263600 | Bhandarkar et al. | Sep 2015 | A1 |
Number | Date | Country |
---|---|---|
1558253 | Dec 2004 | CN |
201393056 | Jan 2010 | CN |
2299568 | Mar 2011 | EP |
2 390 997 | Nov 2011 | EP |
2660962 | Nov 2013 | EP |
2980053 | Mar 2011 | FR |
WO2012010353 | Jan 2012 | WO |
WO 2012044737 | Apr 2012 | WO |
WO2012110087 | Aug 2012 | WO |
WO2012110088 | Aug 2012 | WO |
WO 2013038098 | Mar 2013 | WO |
Entry |
---|
Bhattacharya, “Basic Electrical and Electronics Engineering”, Aug. 18, 2011, 10 pgs. |
Rodriguez-Valdez, et al., “Phase Locked Loop for Unbalanced Utility Conditions”, 2010 Applied Power Electronics Conference and Exposition (APEC), 2010 25th Annual IEEE 2010, Piscataway, NJ, Feb. 21, 2010, pp. 634-641. |
European Search Report, EP Appl. No. 14196030.2-1504, mailed Apr. 30, 2015, completed Apr. 22, 2015, 5 pgs. |
European Search Report completed Jul. 20, 2015 for Application No. EP 15 15 6270. |
ABB Bay Control REC670 Application manual, Relion 670 series, http://www05./abb.com/global/scot/scot354.nsf, Oct. 10, 2011, pp. 1-586 (2 parts). |
Transformer protection RET670 ANSI Application manual, Relion 670 series, http://www.abb.com/product/db0003db004281/c12573e700330419c/257f000263ad5.aspx#!, May 6, 2011, pp. 1-864 (2 parts). |
“Protective Relays”, iCP-630 Capacitor Bank Protection Relay, Cooper Power Systems, Jan. 2011, pp. 1-8. |
ABB Distribution Automation Handbook, Section 8.10 Protection of Capacitor Banks, Mar. 5, 2011. |
Ge C70 Capacitor Bank Protection and Control System UR Series Instruction Manual C70 Revision: 6.0x, Copyright @ 2011, GE Multilin, http://www.GEmultilin.com, pp. 1-644 (2 parts). |
“iCP-630 Capacitor Bank Protection Relay”, Cooper Power Systems, Mar. 2007. |
U.S. Appl. No. 13/570,781, “Filter Capacitor Degradation Detection Apparatus and Method”, by Patel et al., filed Aug. 9, 2012. |
U.S. Appl. No. 13/872,177, “Active Front End Filter Capacitor Failure Prediction With Y and Delta Capacitor Connection”, by Royak et al., filed Apr. 29, 2013. |
U.S. Appl. No. 14/042,753, “Method and Apparatus for Detecting Afe Filter Capacitor Degradation”, by Tallam et al., filed Oct. 1, 2013. |
Lee, et al., “Online capacitance estimation of DC-link electrolytic capacitors for three-phase AC/DC/AC PWM converters using recursive least squares method”, IEE Proc.-Electr, Power Appl., vol. 152, No. 6, Nov. 2005. |
Number | Date | Country | |
---|---|---|---|
20150153397 A1 | Jun 2015 | US |