The subject matter disclosed herein relates to power conversion, and more specifically to rotor position estimation apparatus and techniques for motor drive power converters.
Various 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. The present disclosure provides motor drives, estimation systems therefor and methods for estimating a motor load rotor position in which four sets of inverter output current samples obtained at four different sample times in a given inverter PWM cycle are converted into a corresponding stationary reference frame current value pairs and the rotor position estimate is computed at least partially according to the stationary reference frame current values.
The following description and drawings set forth certain illustrative implementations of the disclosure in detail, which are indicative of one or more exemplary ways in which the various principles of the disclosure may be carried out. The illustrated examples are not exhaustive of the many possible embodiments of the disclosure. Various 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:
The various aspects of the present disclosure are hereinafter described in connection with a three-phase output inverter 40, although different embodiments are contemplated involving more than three output phases to drive an AC motor load 6. As seen in
The inverter switching devices are individually connected between one of the DC bus terminals DC+ and DC− and the corresponding AC output phase U, V or W, and are operative according to a corresponding one of a plurality of switching control signals 46 from the inverter controller 42 in order to selectively electrically connect or disconnect the corresponding DC terminal to/from the corresponding AC output line. In practice, the controller 42 provides inverter switching control signals 46 to the corresponding inverter switches in a manner suitable for conversion of the input DC electrical power to variable frequency, variable amplitude AC output power suitable for controlling operation of the connected motor load 6. In this regard, the inverter controller 42 provides the switching control signals 46 in order to implement a desired control strategy, for example, control or regulation of the motor operation according to one or more setpoint inputs (not shown), such as a desired motor speed, torque, position, etc., and the controller 42 may employ one or more feedback signals to implement the control strategy in a closed loop fashion. In this regard, the motor drive 10 includes current sensors providing inverter output current feedback signals or values 54 to the inverter controller 42, and the illustrated controller 42 includes or implements an inverter control circuit or component 44, such as signal conditioning and driver circuitry with associated logic circuits and/or programming of a processor 41 providing suitable switching control signals 46 for selectively operating the inverter switching devices, as well as an associated non-transitory electronic memory storing data values and programming instructions.
In one embodiment, moreover, the control circuit or component 44 implements closed loop control of the inverter 40 in order to control operation of the driven motor load 6 at least partially according to an estimated rotor position angle θ 52 using a sine-triangle pulse width modulation technique in which a desired inverter output parameter (e.g., output voltage command signal or value) for each output phase U, V and W is compared with a corresponding triangle wave carrier 48 to determine the desired on or off state for the inverter switching devices associated with each given phase. The modulation can be implemented in hardware using comparators, triangle waveform generators, etc. and/or comparison of the carrier 48 and desired output value for a corresponding inverter output phase may be implemented in software/firmware executed by the processor 41, with the corresponding carrier waveforms 48 being stored in the electronic memory and/or otherwise implemented in processor-executed software and/or firmware.
The controller 42 and the components thereof can include suitable logic or processor-based circuitry and an electronic memory storing data and programming code, and may also include signal level amplification and/or driver circuitry (not shown) to provide suitable drive voltage and/or current levels via the signals 46 sufficient to selectively actuate the inverter switching devices, for instance, such as comparators, carrier wave generators or digital logic/processor elements and signal drivers or combinations thereof. Moreover, the controller 42 can provide the switching control signals 46 according to any suitable pulse width modulation (PWM) technique, including without limitation carrier-based pulse width modulation, etc., which performs normal motor control tasks, including pulse width modulation operation of the inverter switches.
Referring now to
A graph 60 in
The graph 60 in
The controller 42 obtains the inverter output current samples 54 using any suitable sampling technique. For example, analog sensors can provide phase current signals 54 to an analog to digital (A/D) converter (not shown) of the controller 42 which provides for conversions to generate corresponding sample values at the sample times t1, t2, t3 and t4, where multiple converters may be used and/or sample and hold (S/H) circuitry (not shown) can be provided such that the phase currents iuvw(ti) are obtained concurrently or approximately concurrently for each of the inverter output phases φ=U, V and W corresponding to the four different sample times t1, t2, t3 and t4 in a given inverter pulse width modulation cycle. Moreover, as shown in the example of
In various implementations, the sampling may be somewhat skewed, with a shared A/D converter in certain implementations sampling and converting signals 54 from the phase current sensors serially using a multiplexer, etc., whereby the samples need not be obtained exactly at 90° intervals in all embodiments. Any suitable sampling control configuration can be used, for example, with the processor 41 controlling the sampling by operation of the conversion circuitry, with the processor 41 in certain embodiments also controlling the provision of the inverter switching control signals 46 and controlling the correspondence between the switching control signal generation and the inverter output current sampling. In certain embodiments, moreover, the current sensors measuring the inverter output currents may provide digital values, with the processor 41 controlling the timing of the sampling by operative interconnection with the current sensors. In this regard, the rotor position estimation system 50 may be implemented by the processor 41, with logic of the estimation system 50 controlling the sampling of the inverter output current signals or values 54.
In the illustrated embodiment, moreover, the inverter output current sampling is done in correspondence with one of the inverter output carriers 48, in this case, the carrier 48u. As seen in
The estimation system or component 50 in one embodiment provides an estimated rotor position signal or value θ in each PWM cycle, although the estimation can be done less frequently in other embodiments. In addition, the estimated rotor position θ can be provided for use by the closed loop control component 44 in generating the inverter switching control signals 46 (e.g., as feedback for position and/or speed control or regulation functions) and/or the position can be used for other purposes, including provision of a digital value and/or analog signal to an external system or network (not shown). Moreover, the illustrated example provides the rotor position estimate θ as a digital value 52 resulting from computations implemented by the processor 41, although other embodiments are possible in which the estimate θ can be provided by the system 50 as an analog signal or in another usable form.
In operation, the estimation system 50 converts four sets of multiphase inverter output current samples iuvw(ti) for a given PWM cycle of the inverter 40 into four corresponding pairs of stationary reference frame current values iα(ti), iβ(t) for each of the sample times ti=t1, t2, t3, t4 using any suitable reference frame conversion technique, including without limitation the conversion or transformation example illustrated in
By this operation, the rotor position estimation system or component 50 computes the estimated rotor position θ for a given inverter PWM cycle at least partially according to the stationary reference frame current values iα(ti), iβ(ti) for that PWM cycle. Moreover, as the controller 42 provides the inverter PWM switching control signals 46 using phase shifted carriers 48 for the inverter output phases U, V and W, the resulting high frequency signal content (e.g., at the inverter PWM switching frequency) facilitates computation of the rotor position estimate θ without requiring encoders or other position sensors at the motor load 6, and without measuring motor currents or voltages on the load side of the cable 8. Moreover, the techniques of the present disclosure advantageously use only four samples of the inverter output currents 54 in a given PWM cycle of the inverter 40, and utilize simple mathematical operations for the computed numerator and denominator values 74, 76, providing computational advantages compared with other position estimation techniques.
The flow diagram of
Referring also to
Thereafter at 88 in
The inventors have appreciated that the voltages vα and vβ of a permanent magnet (PM) motor in the a-β stationary reference frame are as follows:
Lq is the torque-axis (q-axis) self inductance, and Ld is the flux-axis (d-axis) self inductance.
The carrier frequency components are given as follows:
Defining the carrier frequency voltages in the α-β stationary reference frame as follows:
where “ωh” is the carrier frequency component, the α-β reference frame currents are given by the following:
The α-axis and β-axis current is detected at the peak and valley of a carrier (cos ωht=0) as follows:
The α-axis and β-axis current is also detected at the mid points (sin ωht=0) as follows:
The difference between the α-axis and β-axis at cos ωht=0 is as follows:
The difference between the α-axis and β-axis at sin ωht=0 is as follows:
This yields the following formula for the rotor position θ (e.g., equation (1) above):
where k1>0 for interior permanent magnet (IPM) motors 6.
As seen above, therefore, the estimation system or component 50 advantageously provides position information for use in motor control via the controller 42 and/or for any other suitable usage in the drive 10 and/or an external system or network at least partially according to the four sets of multiphase inverter output current samples for a given PWM cycle of the inverter 40.
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”. This description uses examples to disclose various embodiments and also to enable any person skilled in the art to practice the disclosed subject matter, including making and using any devices or systems and performing any incorporated methods. It will be evident that various modifications and changes may be made, and additional embodiments may be implemented, without departing from the broader scope of the present disclosure as set forth in the following claims, wherein the specification and drawings are to be regarded in an illustrative rather than restrictive sense.
Number | Name | Date | Kind |
---|---|---|---|
3723840 | Opal et al. | Mar 1973 | A |
4823251 | Kawabata et al. | Apr 1989 | A |
5032771 | Kerkman | Jul 1991 | A |
5526252 | Erdman | Jun 1996 | A |
5703449 | Nagate | Dec 1997 | A |
5717305 | Seibel | Feb 1998 | A |
5744921 | Makaran | Apr 1998 | A |
5909098 | Konecny et al. | Jun 1999 | A |
5959431 | Xiang | Sep 1999 | A |
5990654 | Skibinski et al. | Nov 1999 | A |
5994869 | Bacerra | Nov 1999 | A |
6121736 | Narazaki et al. | Sep 2000 | A |
6124697 | Wilkerson | Sep 2000 | A |
6208537 | Skibinski et al. | Mar 2001 | B1 |
6222335 | Hiti et al. | Apr 2001 | B1 |
6329781 | Matsui et al. | Dec 2001 | B1 |
6600980 | Kraska et al. | Jul 2003 | B1 |
6940249 | Toyoda | Sep 2005 | B2 |
6965212 | Wang et al. | Nov 2005 | B1 |
7045988 | Ha et al. | May 2006 | B2 |
7049778 | Katanaya | May 2006 | B2 |
7084604 | Salomaki | Aug 2006 | B2 |
7102323 | Zhou et al. | Sep 2006 | B2 |
7468595 | Lee | Dec 2008 | B2 |
7679308 | Tomigashi | Mar 2010 | B2 |
7683568 | Pande et al. | Mar 2010 | B2 |
7724549 | Skibinski et al. | May 2010 | B2 |
7729146 | Hayami et al. | Jun 2010 | B2 |
7932693 | Lee | Apr 2011 | B2 |
7979223 | Monti et al. | Jul 2011 | B2 |
7990097 | Cheng et al. | Aug 2011 | B2 |
8009450 | Royak et al. | Aug 2011 | B2 |
8143838 | Akiyama | Mar 2012 | B2 |
8217602 | Ikei | Jul 2012 | B2 |
8232760 | Lu et al. | Jul 2012 | B2 |
8288886 | Anwar et al. | Oct 2012 | B2 |
8299646 | Rockenfeller et al. | Oct 2012 | B2 |
8736220 | Ogawa et al. | May 2014 | B2 |
8970154 | Ishikawa et al. | Mar 2015 | B2 |
8981702 | Katariya et al. | Mar 2015 | B2 |
20040052097 | Morimoto | Mar 2004 | A1 |
20060113952 | Zhou | Jun 2006 | A1 |
20070001635 | Ho | Jan 2007 | A1 |
20070007929 | Lee et al. | Jan 2007 | A1 |
20080001571 | Tomigashi | Jan 2008 | A1 |
20080074074 | Skibinski et al. | Mar 2008 | A1 |
20080312855 | Monti et al. | Dec 2008 | A1 |
20090146592 | Tobari et al. | Jun 2009 | A1 |
20090153083 | Rozman | Jun 2009 | A1 |
20090200980 | Ramu et al. | Aug 2009 | A1 |
20100194319 | Ito | Aug 2010 | A1 |
20110050140 | Sakai | Mar 2011 | A1 |
20110062908 | Kitanaka | Mar 2011 | A1 |
20110084638 | Patel et al. | Apr 2011 | A1 |
20110109155 | Anwar et al. | May 2011 | A1 |
20110181232 | Krishnamoorthy et al. | Jul 2011 | A1 |
20120038300 | Kato et al. | Feb 2012 | A1 |
20120268056 | Liu | Oct 2012 | A1 |
20130069572 | Maekawa | Mar 2013 | A1 |
20130153180 | Montocchio et al. | Jun 2013 | A1 |
20140197774 | Liu et al. | Jul 2014 | A1 |
20140228980 | Ohta et al. | Aug 2014 | A1 |
20140312811 | Liu et al. | Oct 2014 | A1 |
20150002059 | Liu et al. | Jan 2015 | A1 |
20150002067 | Rowan et al. | Jan 2015 | A1 |
20150123579 | Liu et al. | May 2015 | A1 |
Number | Date | Country |
---|---|---|
2513286 | Sep 2002 | CN |
101383585 | Mar 2009 | CN |
201504207 | Jun 2010 | CN |
101950983 | Jan 2011 | CN |
102045021 | May 2011 | CN |
102349230 | Feb 2012 | CN |
202872721 | Apr 2013 | CN |
103190068 | Jul 2013 | CN |
1635448 | Mar 2006 | EP |
1868288 | Dec 2007 | EP |
2390766 | Jan 2004 | GB |
2001-025282 | Jan 2001 | JP |
2002034289 | Jan 2002 | JP |
WO2009093214 | Jul 2009 | WO |
Entry |
---|
Miranda et al., “Parameter and Speed Estimation for Implementing Low Speed Sensorless PMSM Drive System Based on an Algebraic Method”; Applied Power Electronics Conf.; APEC 2007, 22nd Annual IEEE; Feb. 1, 2007,;pp. 1406-1410. |
Miranda et al., “Sensorless Control of a PMSM Synchronous Motor at Low Speed”; IEEE Industrial Electronics; IECON 2006; 32nd Annual Conf., IEEE; Piscataway, NJ; Nov. 1, 2006; pp. 5069-5074. |
Yim et al., “A Predictive Current Control Associated to EKF for High Performance IPMSM Drives”; Applied Power Electronics Conf. and Exposition (APEC), 2011; 26th Annual IEEE, Mar. 6, 2011; pp. 1010-1016. |
Moldovan et al., “Active-Flux Based, V/f-With-Stabilizing-Loops Versus Sensorless Vector Control of IPMSM Drives”; Industrial Electronics (ISIE); 2011 IEEE Int'l Symposium; Jun. 27, 2011; pp. 514-519. |
Stirban et al., “Motion-Sensorless Control of BLDC-PM Motor With Offline FEM-Information-Assisted Position and Speed Observer”; IEEE Transactions on Industry Applications; IEEE Service Center, Piscataway, NJ; vol. 48, No. 6; Nov. 1, 2012; pp. 1950-1958. |
Carpaneto, et al., “A New Sensorless Permanent Magnet Synchronous Motor Algorithm Based on Algebraic Method”; 13th European Conf. on Power Electronics and Applications, 2009; EPE 2009; Sep. 8-10, 2009, Barcelona, Spain; IEEE, Piscataway, NJ, Sep. 8, 2009, pp. 1-10. |
“Guidelines for the Use of 400-600 Volt AC Drives in Medium Voltage Applications,” Yaskawa Application Note, Jun. 7, 2005. |
Agarlita, Sorin-Cristian et al., “I-f Starting and Active Flux Based Sensorless Vector Control of Reluctance Synchronous Motors, with Experiments”, 12th Int'l Conf. on Optimization of Electrical and Electronic Equipment, OPTIM 2010, pp. 337-342. |
Andreescu, G., et al. “Stable V/f Control System with Unity Power Factor for PMSM Drives”, IEEE 13th Int'l Conf. on Optimization of Electrical and Electronic Equipment (OPTIM), May 2012, pp. 432-438. |
Batzel, Todd D. et al., “Electric Propulsion With Sensorless Permanent Magnet Synchronous Motor: Implementation and Performance”, IEEE Transactions on Energy Conversion, vol. 20, No. 3, pp. 575-583, Sep. 2005. |
Colby, Roy S., “An Efficiency-Optimizing Permanent-Magnet Synchronous Motor Drive”, IEEE Transactions on Industry Applications, vol. 24, No. 3, May/Jun. 1998, pp. 462-469. |
Fatu et al., I-F Starting Method With Smooth Transition to EMF Based Motion-Sensorless Vector Control of PM Synchronous Motor/Generator, 2008, IEEE, pp. 1481-1487. |
Halkassari, Optimal U/F-Control of High Speed Permanent Magnet Motors, 2006, IEEE, pp. 2302-2308. |
Iepure, Livid Ioan et al., “Hybrid I-f Starting and Observer-Based Sensorless Control of Single-Phase BLDC-PM Motor Drives”, IEEE Transactions on Industrial Electronics, vol. 59, No. 9, Sep. 2012, pp. 3436-3444. |
J. Liu et al., “Rotor Position Estimation for Synchronous Machines Based on Equivalent EMF”, IEEE Transactions on Industry Applications, vol. 47, pp. 1310-1318, May-Jun. 2011. |
J'aitrong et al., “A Modify Technique to Actively Damp Oscillation in the Input LC Filter of Three-Phase PWM Rectifier”, Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008; Proceedings of ECTI-CON 2008; pp. 1017-1020. |
Kiuchi, M., et al, “V/f Control of Permanent Magnet Synchronous Motors Suitable for Home Appliances by DC-link Peak Current Control Method”, The Jun. 2010 Int'l Power Electronics Conference, IEEE 2010, pp. 567-573. |
Kojima, Mari et al., “Novel Vector Control System Using Deadbeat-Controlled PWM Inverter With Output LC Filter”, IEEE Transactions on Industry Applications, vol. 40, No. 1, pp. 162-169, Jan./Feb. 2004. |
Kukrer, “Deadbeat Control of a Three-Phase Inverter with an Output LC Filter”, IEEE Transactions on Power Electronics, vol. 11, No. 1, Jan. 1996, 8 pgs. |
Laczynski et al., “Active Damping of LC-Filters for High Power Drives Using Synchronous Optimal Pulsewidth Modulation”, Power Electronics Specialists Conf., IEEE, Jun. 15, 2008, pp. 1033-1040. |
Loh, Poh Chiang et al., “Analysis of Multiloop Control Strategies for LC/CL/LCL-Filtered Voltage-Source and Current-Source Inverters”, IEEE Transactions on Industry Applications, vol. 41, No. 2, pp. 644-654, Mar./Apr. 2005. |
Makridenko, L.A. et al., “Sensorless Drive With Synchronous Machine and Submersible Inverter for Oil-Drowned Pump”, IEEE European Conf. on Power Electronics and Applications (EPE), pp. 1-10, Sep. 2009. |
Matsushita, M., et al., “Stabilization Control of Sensorless Sinusoidal Wave Drive for Control of Power Factor of PM Motor”, IEEE Int'l Conf. Electrical Machines and Systems (ICEMS), 2009, 5 pgs. |
Mukherjee et al., “Fast Control of Filter for Sensorless Vector Control SQIM Drive With Sinusoidal Motor Voltage”, IEEE Transactions on Industrial Electronics, vol. 54, No. 5, Oct. 2007, pp. 2435-2442. |
Nakamura, Yoshlnobu et al., “High-Efficiency Drive Due to Power Factor Control of a Permanent Magnet Synchronous Motor”, IEEE Transactions on Power Electronics, vol. 10, No. 2, Mar. 1995, Manuscript rec'd Aug. 22, 1992, revised Sep. 13, 1994, pp. 247-253. |
Park et al., “Analysis and Reduction of Time Harmonic Rotor Loss in Solid-Rotor Synchronous Reluctance Drive”, IEEE Transactions on Power Electronics, vol. 23, No. 2, Mar. 1, 2008, pp. 985-992. |
Park et al., “Design and Control of High-Speed Solid-Rotor Synchronous Reluctance Drive With Three-Phase LC Filter”, Conference Record of the 2005 IEEE Industry Applications Conf. 40th IAS Annual Meeting, vol. 1, Oct. 2, 2005, pp. 715-722. |
Perera, P.D. Chandana, “A Sensorless, Stable V/f Control Method for Permanent-Magnet Synchronous Motor Drives”, IEEE Transactions on Industry Applications, vol. 39, No. 3, May/Jun. 2003, IEEE 2003, pp. 783-791. |
Ryvkin, S. et al., “Sensorless Oil Drowned Pump Drive”, IEEE ISIE 2005, Jun. 20-23, 2005, Dubrovnik, Croatia, pp. 963-968. |
Salomäki, J. et al., “Sensorless Control of Induction Motor Drives Equipped With Inverter Output Filter”, IEEE Transactions on Industrial Electronics, vol. 53, No. 4, pp. 1188-1197, Aug. 2006. |
Salomäki, J. et al., “Sensorless Vector Control of PMSM Drives Equipped With Inverter Output Filter”, in Proceedings of the 32nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2006), Paris, France, pp. 1059-1064. |
Steinke et al., “Use of a LC Filter to Achieve a Motorfriendly Performance of the PWM Voltage Source Inverter”, Electric Machines and Drives Conference Record, 1997; IEEE, Milwaukee, WI, May 18, 1997, 3 pgs. |
Kim et al., “PWM Switching Frequency Signal Injection Sensorless Methods in IPMSM”, IEEE, 2011, pp. 3021-3028. |
Yaskawa Technical Review, vol. 69, No. 2, AC Drive Drive, Sensorless Drive Technology for Permanent Magnet Synchronous Motor; http://www.yaskawa.co.jp/en/technology/tech—news/69-2/t10.htm, retrieved from the Internet 11-26-2-14, 1 pg. |
Kubota et al., “Sensorless Vector Control of Closed-Slot Induction Machines at Low Frequency”, IEEJ Journal of Industry Applications, vol. 2, No. 1, The Institute of Electrical Engineers of Japan, 2013, pp. 74-78. |
Kobayashi et al., “Investigation of IPMSM's Position Estimation in Low Speed Region with DC Link Current Detection”, IEEE Jan. 2007, pp. 1411-1416. |
Stirban et al., “Motion-Sensorless Control of BLDC-PM Motor With Offline FEM Information Assisted State Observer”; Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference, MA 22, 2010, pp. 321-328. |
Number | Date | Country | |
---|---|---|---|
20160248354 A1 | Aug 2016 | US |