Voltage-mode drive for driving complex impedance loads

• US 6,940,685 B2
• Filed: 06/16/2003
• Issued: 09/06/2005
• Est. Priority Date: 06/14/2002
• Status: Active Grant

• Current Assignee: STMicroelectronics SRL (STMicroelectronics NV)
• Original Assignee: STMicroelectronics SRL (STMicroelectronics NV)
• Inventors: Capretta, Paolo, Chrappan Soldavini, Francesco, Oboe, Roberto
• Primary Examiner(s): Sniezek, Andrew L.
• Application Number:
  US10/464,435
• Publication Number:
  US 20040036999A1
• Time in Patent Office: 813 Days
• Field of Search: 360/75, 360/32, 360/69, 360/78.04, 360/78.09, 360/78.06, 360/78.11, 318/560, 318/254, 318/461, 318/439, 318/599, 388/800, 388/804, 388/842
• US Class Current: 360/78.06
• CPC Class Codes: H02P 25/034 Voice coil motors voice coil motors driven by DC power H02P7/025

Abstract

A method of driving an electrical load having a complex electrical impedance, such as a voice-coil motor controlling the position of a read/write head in a data storage disk drive system, comprises providing a voltage-mode driver generating drive signals for the electrical load in response to drive commands. Compensated commands for the voltage-mode driver are generated filtering the drive commands, compensating for a phase shift between electrical quantities delivered to the electrical load. The voltage-mode drive thus emulates a conventional, but more expensive, current-mode drive. In a preferred embodiment, the method comprises estimating characteristic parameters of the electrical load during the operation, and adapting the filtering to the estimated characteristic parameters. The estimation comprises implementing a Kalman filtering algorithm, particularly an extended Kalman filtering.

Claims

1. A method of driving an electrical load having a complex electrical impedance, comprising:

providing a voltage-mode driver generating drive signals for the electrical load in response to drive commands;

filtering the drive commands for the voltage-mode driver for obtaining compensated drive commands compensating for a phase shift between electrical quantities delivered to the electrical load;

supplying the compensated drive commands to the voltage-mode driver; and

estimating characteristic parameters of the electrical load during operation of the electrical load, wherein the compensated drive commands are based in part on the estimating step.

2. The method according to claim 1, in which said filtering comprises approximating a closed-loop current-mode drive.

3. The method according to claim 2, in which said filtering comprises inserting a zero in correspondence of a pole of a transfer function of the electrical load.

4. The method according to claim 3, in which said generating drive signals for the electrical load comprises generating a pulse width modulated output or a phase shift modulated output, with a duty cycle determined by the compensated commands.

5. The method according to claim 1, further comprising adapting said filtering to the estimated characteristic parameters.

6. The method according to claim 5, in which said adapting the filtering comprises modifying filtering parameters for tracking the phase shift between electrical quantities delivered to the electrical load.

7. The method according to claim 1, in which said estimating comprises performing a Kalman filtering, particularly an extended Kalman filtering.

8. The method according to claim 7, in which said Kalman filtering is based on a fifth-order model of the electrical load, said fifth-order model including as state variables an angular position and an angular speed of the read/write head, a current sunk by the voice-coil motor, a windings resistance of the voice-coil motor and a disturbance torque acting on the voice-coil motor, and is performed for estimating the windings resistance of the voice coil motor.

9. The method according to claim 7, in which said Kalman filtering is based on a fourth-order model of the electrical load, said fourth-order model including as state variables an angular speed of the read/write head, a current sunk by the voice-coil motor, a windings resistance of the voice-coil motor and a disturbance torque acting on the voice-coil motor.

10. The method according to claim 9, in which a value of the angular speed is either measured or derived by calculation from a measure of the read/write head position.

11. The method according to claim 7, in which said performing a Kalman filtering includes providing a sampled angular speed at a sample frequency which is a multiple, a sub-multiple or is equal to a sample frequency of a read/write head position servo-control.

12. The method according to claim 7, in which said performing a Kalman filtering includes receiving an input equal to or derived from an output from said filtering, at a rate that is a multiple, a sub-multiple or is equal to a sample frequency of a read/write head position servo-control.

13. The method according to claim 7, in which the electrical load is an actuator of a disk drive system, particularly a voice-coil motor controlling the position of a read/write head, and said Kalman filtering is based on a third-order model of the electrical load, said third-order model including as state variables an angular speed of the read/write head, a current sunk by the voice-coil motor and a windings resistance of the voice-coil motor, and is performed for estimating a windings resistance of the voice-coil motor.

14. The method according to claim 13, in which said performing the Kalman filtering includes receiving as an input a disturbance torque acting on the voice-coil motor.

15. The method according to claim 14, in which said performing a Kalman filtering includes establishing a relationship between the disturbance torque and an innovation value by means of an integrator.

16. The method according to claim 13, in which a value of the angular speed is either measured or derived by calculation from a measure of the read/write head position.

17. The method according to claim 13, in which said performing Kalman filtering includes providing a sampled angular speed at a sample frequency which is a multiple, a sub-multiple or is equal to a sample frequency of a read/write head position servo-control.

18. The method according to claim 13, in which said performing a Kalman filtering includes receiving an input equal to or derived from an output from said filtering, at a rate that is a multiple, a sub-multiple or is equal to a sample frequency of a read/write head position servo-control.

19. The method according to claim 1, in which the electrical load is an actuator of a disk drive system, particularly a voice-coil motor controlling the position of a read/write head.

20. The method according to claim 19, further comprising compensating a back electro-motive force of the voice-coil motor by means of a feed-forward technique.

21. A driver circuit for driving a complex electrical impedance load, comprising:

a voltage-mode driver generating drive signals for the load in response to drive commands;

a drive commands generator generating the drive commands;

a compensation filter receiving the drive commands and supplying the voltage-mode driver with compensated drive commands, the compensation filter compensating for a phase shift between electrical quantities delivered to the load by the voltage-mode driver; and

estimator means for estimating characteristic parameters of the load during the operation.

22. The driver circuit according to claim 21, in which the compensation filter has a transfer function such that the driver circuit approximates a closed-loop current-mode drive.

23. The driver circuit according to claim 21, in which the compensation filter is an analog filter.

24. The driver circuit according to claim 21, in which the compensation filter is a digital filter.

25. The driver circuit according to claim 21, in which the voltage-mode driver is a pulse width modulator or a phase shift modulator, modulating a duty cycle according to the compensated commands.

26. The driver circuit according to claim 21, in which the estimator means control the compensation filter for adapting the compensation filter to the estimated characteristic parameters, for tracking the phase shift between electrical quantities delivered to the load.

27. The driver circuit according to claim 26, in which said estimator means comprise a Kalman filter, particularly an extended Kalman filter.

28. A storage disk drive system, comprising:

a data storage disk;

a read/write head for reading/writing data from/into the data storage disk;

a motor for controlling a position of the read/write head; and

a driver circuit for driving the motor, the driver circuit including;

a voltage-mode driver generating drive signals for the electrical load in response to drive commands;

a drive commands generator generating the drive commands;

a compensation filter receiving the drive commands and supplying the voltage-mode driver with compensated drive commands, the compensation filter compensating for a phase shift between electrical quantities delivered to the motor by the voltage-mode driver; and

estimator means for estimating characteristic parameters of the motor during the operation.

29. The storage disk drive system according to claim 28, in which the compensation filter has a transfer function such that the driver circuit approximates a closed-loop current-mode drive.

30. The storage disk drive system according to claim 29, in which the compensation filter is an analog filter.

31. The storage disk drive system according to claim 29, in which the compensation filter is a digital filter.

32. The storage disk drive system to claim 28, in which the voltage-mode driver is a pulse width modulator or a phase shift modulator, modulating a duty cycle according to the compensated commands.

33. The storage disk drive system according to claim 28, in which the estimator means control the compensation filter for adapting the compensation filter to the estimated characteristic parameters, for tracking the phase shift between electrical quantities delivered to the motor.

34. The driver circuit according to claim 33, in which said estimator means comprise a Kalman filter, particularly an extended Kalman filter.