The present disclosure relates generally to control of electric motors, and specifically to controlling torque in permanent magnet AC motors.
Alternating current (AC) electric motors rely on alternating currents passed through induction windings within the stator to cause rotation of the rotor. So-called three phase AC motors include three matched sets of windings positioned radially about the stator. By supplying sinusoidal AC power to each of the sets of windings such that each set receives an alternating current offset by 120 degrees, a torque can be imparted on the rotor as it rotates.
Unlike a brushed DC motor, output speed in an AC motor is controlled by the frequency of the current sent to the stator windings. In order to control output torque, and thus speed, a variable frequency drive (VFD) is used to vary the current fed to the AC motor. Because the inductive reactance of the stator windings is proportional to the frequency applied to the winding, increased voltage is necessary to maintain a relatively constant current within the windings, and thus a relatively constant output torque. Additionally, in a permanent magnet AC motor, as the permanent magnetic field of the permanent magnets of the rotor rotates, a voltage known as a back EMF or counter EMF is induced into the stator windings. The current supplied to the windings of the AC motor is thus dependent on the voltage supplied to the motor less the back EMF voltage.
In order to properly drive the AC motor, VFD's often operate using one of two control methods. In a volts/Hz control or flux control scheme, the VFD varies the output speed of the motor by supplying AC power to the stator windings at a particular frequency and voltage. For a given desired torque, voltage is proportionally related to the frequency by a so-called “voltage-to-frequency” or “volts/Hz” ratio. By using closed-loop feedback, a VFD using volts/Hz can maintain motor speed in changing conditions. This simple control scheme, however, is inherently slow in its response to rapid changes in demand speeds, as it relies on control of voltages and frequencies rather than current directly. Additionally, this simple form of volts/Hz may not be usable in a permanent magnet motor control system.
With the rapid advancement in low-cost, high speed microprocessor technology, VFDs utilizing field-oriented control (FOC) models are increasingly popular. In FOC, the current supplied to the phases of the AC motor is decoupled into torque and flux components acting on the rotor in a rotating reference frame. Thus, each of these currents can be independently controlled. Current supplied to the phases of the motor are measured or derived and transformed into the torque-flux space (utilizing, for example, a Clarke/Park transformation), a closed-loop feedback model can be created to control each of these currents continuously. The processor then back-transforms the torque and flux components into three phase currents. The three phase currents are fed to a three phase inverter which outputs pulse-width modulated signals to each set of windings in the motor.
In an AC motor, even under FOC, as the speed of the permanent magnet motor is increased, the voltage generated by the fixed magnetic field (EMF) increases proportionally. At some speed, the voltage generated by the motor exceeds the maximum voltage that can be produced by the drive that is controlling the motor. If operation above this speed is desired, it is necessary to modify the current vector applied to the motor to maintain the desired torque, and control the terminal voltage of the motor to a value less than the maximum drive output voltage, thus operating in a flux weakening mode. In such a situation, the EMF may interfere with the operation of the VFD in the flux weakening mode.
The present disclosure provides for a method for limiting torque demand of a three phase permanent magnet AC motor having a rotor and stator driven by a three phase current generated by a variable frequency drive. The method may include measuring the three phase current supplied to the permanent magnet AC motor. The method may include transforming the measured three phase current signal into a two-phase signal projected onto a two-axis rotating reference frame The phase components of the two-phase signal may define a feedback quadrature current and a feedback direct current. The method may include calculating an estimated rotor speed and estimated rotor position. The method may include calculating a speed error signal by subtracting the estimated rotor speed from a target speed. The method may include calculating, using a speed controller, a torque demand from the speed error signal. The method may include calculating, using a torque limit controller, a limited torque demand. The limited torque demand may be calculated at least in part with respect to a selected maximum direct voltage. The method may include calculating a quadrature current error signal by subtracting the feedback quadrature current from a quadrature demand current. The method may include calculating, using an Iq controller, a quadrature voltage from the quadrature current error signal. The method may include calculating a direct current error signal by subtracting the feedback direct current from a demand direct current. The method may include calculating, using an Id controller, a direct voltage from the direct current error signal. The method may include transforming the quadrature and direct voltages into a three phase voltage signal. The method may include modulating a DC voltage with a three phase inverter to supply three phase current corresponding to the three phase voltage signal to the permanent magnet AC motor.
The present disclosure also provides for a method for limiting torque demand of a permanent magnet AC motor having a rotor and stator driven by a current supplied to each phase of the permanent magnet AC motor generated by a variable frequency drive. The method may include measuring the current supplied to the permanent magnet AC motor. The method may include transforming the measured current signal into a two-phase signal projected onto a two-axis rotating reference frame. The phase components of the two-phase signal may define a feedback quadrature current and a feedback direct current. The method may include calculating an estimated rotor speed and estimated rotor position. The method may include calculating a speed error signal by subtracting the estimated rotor speed from a target speed. The method may include calculating, using a speed controller, a torque demand from the speed error signal. The method may include calculating, using a torque limit controller, a limited torque demand. The method may include calculating a quadrature current error signal. The method may include calculating a quadrature voltage from the quadrature current error signal. The method may include calculating a direct current error signal. The method may include calculating a direct voltage from the direct current error signal. The method may include transforming the quadrature and direct voltages into a voltage signal corresponding to each phase of the permanent magnet AC motor. The method may include modulating a DC voltage with a three phase inverter to supply current to each phase of the permanent magnet AC motor corresponding with the voltage signal.
The present disclosure is best understood from the following detailed description when read with the accompanying figures. It is emphasized that, in accordance with the standard practice in the industry, various features are not drawn to scale. In fact, the dimensions of the various features may be arbitrarily increased or reduced for clarity of discussion.
It is to be understood that the following disclosure provides many different embodiments, or examples, for implementing different features of various embodiments. Specific examples of components and arrangements are described below to simplify the present disclosure. These are, of course, merely examples and are not intended to be limiting. In addition, the present disclosure may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
In the case of a permanent magnet motor, the interaction of current, flux, voltage, and speed are defined by the model voltage equation as follows:
vs=Rs·is+ls·{dot over (i)}s+jω0ls·is+{dot over (φ)}r+jω0·φr,
where vs is the stator voltage vector, Rs is the stator resistance, is is the stator current vector, is ls the stator leakage inductance, φr is the total rotor flux vector, and ω0 is the synchronous frequency given by:
φ0=Pp×ωr,
Where Pp is the number of pole pairs per phase, and ωr is the speed of the rotor. Total rotor flux φr may be given by:
φr=φpm+Lm·is
Substituting the flux equation into the voltage equation, and the definition that φm is entirely real (direct or d-axis), the voltage equation evaluates to:
Torque supplied by the motor may be given by:
Te=3Pp(φr×is),
Thus, speed can be expressed by the following equation:
The voltage and flux equations can thus be combined into the following extended state-space format:
As VFD 101 drives AC motor 10, VFD 101 measures the currents ia, ib, ic supplied to each of the stator windings phases using, for example, ammeters 111a-c. In some embodiments wherein AC motor 10 is ungrounded and supplied with balanced three phase currents, the current supplied to one of the three windings may be derived from measurements of the other two windings. The three current signals ia, ib, ic are transformed into a two-phase projection of the currents in a rotating reference frame, namely feedback quadrature current iq FB and feedback direct current id FB. This transformation may be accomplished by, for example, Park/Clarke transformation 113. Park/Clarke transformation 113 uses estimated position θ0 generated by position estimator 114. Position estimator 114 may calculate estimated position θ0 from a signal generated by resolver/encoder 116, which may be attached to the output shaft of AC motor 10.
The signal generated by resolver/encoder may also be used by speed estimator 118 to calculate estimated rotor speed ωr. In other embodiments, the two-phase projected currents may be used to calculate estimated position θ0 and rotor speed ωr. In other embodiments, two-phase projected currents in a stationary reference frame as calculated by a Clarke transformation alone may be used to calculate estimated position θ0 and rotor speed ωr. In some embodiments, an open loop controller may be utilized to estimate rotor speed ωr, using, for example, feedback from voltage supplied to AC motor 10.
Furthermore, in some embodiments, one or more of position estimator 114 and speed estimator 118 may incorporate feedback into the position and rotor speed calculations. In such embodiments, parameters including but not limited to direct voltage vd, quadrature voltage vq, feedback direct current id FB, and/or feedback quadrature current iq FB (as discussed below) may be utilized in the estimation of estimated position θ0 and rotor speed ωr.
Rotor speed ωr is subtracted from target speed 107 at 115 to generate a speed error signal εω which may be used by speed controller 119 to generate a torque demand Trq*. However, the above equations used to determine torque demand Trq* imply no intrinsic limit to the maximum torque that AC motor 10 is capable of producing in the given implementation. In reality, the actual maximum torque is affected by, for example and without limitation, the mechanical constraints of AC motor 10, the maximum current available to AC motor 10, and the maximum power available to AC motor 10. Thus, torque demand Trq* as calculated by speed controller 119 may demand a greater torque from AC motor 10 than AC motor 10 is capable of producing.
To account for such an eventuality, torque limit controller 122 is positioned to calculate a limited torque demand Trq*LIM.
In order to account for other factors, an iq limit may be calculated by selecting the smallest iq calculated with respect to the factor. For example, the maximum current 203 and id may be used to calculate an iq limit according to:
iq.lim=√{square root over (Ilim2−id2)},
At the same time, inherent mechanical constraints may be accounted for as well. For example, when operating in a field weakening mode, the voltage developed by quadrature inductance may, for example, prevent a field weakening controller to operate normally and maintain terminal voltage control. By limiting this direct voltage vd″ to a selected value, terminal voltage control may be maintained. In some embodiments, vd″ may be limited to approximately half of the available drive output voltage. The iq limit associated with the limited direct voltage vd.lim″ may be calculated according to:
Torque limit calculator 122 may then use the smaller of the iq limits with the following torque calculation to determine a second torque limit Trq2:
Te=3Pp(φm·iq+(Ld−Lq)id·iq)
as above.
Torque limit calculator 122 may then select the smallest of the first torque limit Trq1, second torque limit Trq2, and the calculated torque demand Trq* to determine limited torque demand Trq*LIM.
The calculated limited torque demand Trq*LIM which is subsequently used by Iq calculator 120 to calculate demand quadrature current iq*. Quadrature current can be described as the component of current which induces the component of the stator magnetic field separated by 90 degrees from the rotor. Likewise, direct current can be described as the component of current which induces the component of the stator magnetic field aligned with the rotor. Thus, the quadrature component generally has a greater effect on rotor torque than the direct component. However, the direct component may contribute to torque in, for example, salient machines where Ld and Lq are significantly different. Thus demand direct current id* may also be taken into account by Iq calculator 120 in determining demand quadrature component iq*.
Feedback quadrature current iq FB is subtracted from demand quadrature current iq*, and the calculated error may be fed into Iq controller 123. Iq controller 123, which may operate as a PI controller or “bang-bang” controller as understood in the art, thus calculates quadrature voltage vq, i.e. the quadrature component of the voltage to be supplied to AC motor 10.
In a similar manner, Id feed forward calculator 121 generates a demand direct current id*. In typical operation, it may be desired to maintain demand direct current id* at zero since maximum torque results from a magnetic field aligned 90 degrees offset from the rotor. Feedback direct current id FB is then subtracted from demand direct current id* to generate an error to be fed into Id control 125. Id control 125, which may operate as a PI controller or “bang-bang” controller as understood in the art, then generates direct voltage vd.
Direct and quadrature voltages vd, vq are then reverse transformed by inverse Park/Clarke transformation 129 from the rotating reference frame to the three phase voltages va, vb, vc. The three phase voltages va, vb, vc are fed into three phase inverter 109, which using, for example, PWM, modulates the supplied DC voltage into variable frequency AC current to AC motor 10.
The foregoing outlines features of several embodiments so that a person of ordinary skill in the art may better understand the aspects of the present disclosure. Such features may be replaced by any one of numerous equivalent alternatives, only some of which are disclosed herein. One of ordinary skill in the art should appreciate that they may readily use the present disclosure as a basis for designing or modifying other processes and structures for carrying out the same purposes and/or achieving the same advantages of the embodiments introduced herein. One of ordinary skill in the art should also realize that such equivalent constructions do not depart from the spirit and scope of the present disclosure and that they may make various changes, substitutions, and alterations herein without departing from the spirit and scope of the present disclosure.
This application is a non-provisional application which claims priority from U.S. provisional application No. 61/974,168, filed Apr. 2, 2014, which is incorporated by reference herein in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4677360 | Garces | Jun 1987 | A |
4707651 | Schauder | Nov 1987 | A |
4885518 | Schauder | Dec 1989 | A |
4926105 | Mischenko et al. | May 1990 | A |
5739664 | Deng | Apr 1998 | A |
5844397 | Konecny | Dec 1998 | A |
5905346 | Yamada | May 1999 | A |
6014006 | Stuntz | Jan 2000 | A |
6163137 | Wallace | Dec 2000 | A |
6288515 | Hiti | Sep 2001 | B1 |
6965212 | Wang | Nov 2005 | B1 |
7960940 | Kariatsumari | Jun 2011 | B2 |
20030006723 | Sul | Jan 2003 | A1 |
20060066275 | Thunes | Mar 2006 | A1 |
20080116842 | Cheng | May 2008 | A1 |
20090030645 | Gotz et al. | Jan 2009 | A1 |
20090154034 | Tallam | Jun 2009 | A1 |
20100128502 | Kawamoto | May 2010 | A1 |
20110031922 | Sakai et al. | Feb 2011 | A1 |
20130009572 | Byun | Jan 2013 | A1 |
20130009574 | Yoo | Jan 2013 | A1 |
20130093372 | Thyagarajan | Apr 2013 | A1 |
Entry |
---|
U.S. Appl. No. 14/676,514, Muhammad S. Islam. |
International Search Report and Written Opinion issued in International Patent Application No. PCT/US2015/023903, Jul. 10, 2015 (13 pages). |
Number | Date | Country | |
---|---|---|---|
20150288310 A1 | Oct 2015 | US |
Number | Date | Country | |
---|---|---|---|
61974168 | Apr 2014 | US |