Method and device for dynamic system control

• US 6,029,095 A
• Filed: 10/08/1997
• Issued: 02/22/2000
• Est. Priority Date: 10/10/1996
• Status: Expired due to Fees

• Current Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Original Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Inventors: Boissy, Jean-Christophe, Rech, Olivier
• Primary Examiner(s): Grant, William
• Assistant Examiner(s): PATEL, RAMESH B
• Application Number:
  US08/947,047
• Time in Patent Office: 867 Days
• Field of Search: 364/148.01, 364/148.02, 364/148.05, 364/148.09, 364/167.02, 364/164, 364/165, 360/78.09, 360/71, 360/69, 360/75, 360/78.02, 360/74.1, 360/73.01
• US Class Current: 700/50
• CPC Class Codes: G05B 13/0265 the criterion being a learning criterion
• CPC Class Codes: G05B 19/19 characterised by positioning or contouring control systems, e.g. to control position from one programmed point to another or to control movement along a programmed continuous path
• CPC Class Codes: G05B 2219/42129 Teach, learn position table, model, for each reference a motor control output
• CPC Class Codes: G05B 2219/42149 During learning relation between control and controlled signal, open loop
• CPC Class Codes: G11B 21/085 with track following of accessed part
• CPC Class Codes: G11B 5/5547 "Seek" control and circuits therefor G11B5/5556 takes precedence
• CPC Class Codes: G11B 5/596 for track following on disks G11B5/5526, G11B5/5552, G11B5/5565, G11B5/5582 take precedence

Abstract

A method of controlling automatic state returns relates to a dynamic system coupled to an automatic control operating in a discrete negative feedback mode. The method includes a phase for defining a controller, and a phase for operating the system. The defining phase is realized in an open-loop learning phase which includes a step of reading states in which a system may be situated, and a step of generating commands for returning the system to an ideal state. When the commands generating step takes place, the method supplies, for each state, a sequence of discrete commands which are determined by imposing a constraint intended to reduce the error relative to that state below a predetermined threshold.

Claims

1. A method of controlling automatic state returns for a dynamic system coupled to automatic control means operating in a discrete feedback mode, the method comprising a defining phase for defining the automatic control means, and an operation phase for operating the system, wherein the defining phase is an open-loop learning phase comprising the steps:

reading states in which the system may be situated; and

generating commands for correcting errors measured between the states and an ideal state, characterized in that the commands generating step comprising producing, for each state, a sequence of discrete commands which, when applied in succession, bring the dynamic system close to the ideal state, said sequence of discrete commands being determined by imposing a constraint for reducing the error relating to that state below a predetermined threshold after a predetermined duration of time.

2. The method as claimed in claim 1, characterized in that the sequence of commands enables control of a dynamic non-linear system.

3. The method as claimed in claim 2, characterized in that the sequence of discrete commands provides a non-linear control of the dynamic system.

4. The method as claimed in claim 1, characterized in that the sequence of commands enables non-linear control of the dynamic system.

5. An apparatus comprising a dynamic system operable in various states, and automatic control means coupled to the dynamic system, said automatic control means operating in a discrete feedback mode to achieve automatic state returns by correcting errors measured between the states and an ideal state, characterized in that the automatic control means comprises means for reducing the error relating to each state, said reducing means generating a sequence of discrete commands which, when applied in succession, bring the dynamic system close to the ideal state, said sequence of discrete command being determined by imposing a constraint intended to reduce the error relating to the state below a predetermined threshold after a predetermined duration of time.

6. The apparatus as claimed in claim 5, characterized in that the sequence of discrete commands realizes an automatic non-linear control of the dynamic system.

7. The apparatus as claimed in claim 6, characterized in that the dynamic system is non-linear.

8. The apparatus as claimed in claim 7, characterized in that the dynamic system is a hard disk.

9. The apparatus as claimed in claim 6, characterized in that the dynamic system is a hard disk.

10. The apparatus as claimed in claim 5, characterized in that the dynamic system is non-linear.

11. The apparatus as claimed in claim 10, characterized in that the dynamic system is a hard disk.

12. The apparatus as claimed in claim 5, characterized in that the dynamic system is a hard disk.

13. A controller for a dynamic system capable of adopting various states, said controller operating in a discrete mode realizing automatic state returns by correcting negative feedback errors measured between the states and an ideal state, characterized in that said controller comprises means for reduces the error relating to each state, said reducing means generating a sequence of discrete commands which, when applied in succession, bring the dynamic system close to the ideal state, said sequence of discrete command being determined by imposing a constraint intended to reduce the error relating to the state below a predetermined threshold after a predetermined duration of time.

14. The controller as claimed in claim 13, characterized in that said controller provides non-linear control of the dynamic system.

15. The controller as claimed in claim 14, characterized in that the dynamic system is a non-linear system.

16. The controller as claimed in claim 15, characterized in that the dynamic system is a hard disk.

17. The controller as claimed in claim 14, characterized in that the dynamic system is a hard disk.

18. The controller as claimed in claim 13, characterized in that the dynamic system is a non-linear system.

19. The controller as claimed in claim 18, characterized in that the dynamic system is a hard disk.

20. The controller as claimed in claim 13, characterized in that the dynamic system is a hard disk.