Fuzzy logic servo controller

• US 5,497,063 A
• Filed: 09/16/1993
• Issued: 03/05/1996
• Est. Priority Date: 09/16/1993
• Status: Expired due to Term

• Current Assignee: Allen-Bradley Company (Rockwell Automation, Inc.)
• Original Assignee: Allen-Bradley Company (Rockwell Automation, Inc.)
• Inventors: Day, Chia, Dummermuth, Ernst
• Primary Examiner(s): Shoop, Jr., Willian M.
• Assistant Examiner(s): Masih, Karen
• Application Number:
  US08/123,020
• Time in Patent Office: 901 Days
• Field of Search: 318/610, 318/609, 318/560, 395/1
• US Class Current: 318/610
• CPC Class Codes: G05B 11/42 for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
• CPC Class Codes: G05B 13/0275 using fuzzy logic only

Abstract

A method and apparatus for incorporating fuzzy logic into a feedback controller is provided. An error signal and the derivative of feedback or error is provided to the fuzzy logic to develop a proportional and differential signal, the differential signal is subsequently integrated and added to the proportional signal to create a control output of the controller. The fuzzy rules of the fuzzy logic decrease the integral term under situations that might lead to "wind-up".

Claims

1. A feedback controller for controlling a process having a process input and process output, the feedback controller receiving a reference input related to a desired process output and producing a process input, the feedback controller comprising:

a comparator for comparing the reference input to the process output to produce an error signal;

a differentiator for differentiating a function of the process output to create feedback difference signal;

fuzzy logic applying a set of fuzzy rules to the error signal and the feedback difference signal to produce a proportional action signal and a differential action signal both being fuzzy functions of both the error signal and the feedback difference signal;

an integrator receiving the differential action signal to produce an integrated action signal; and

a summing junction for summing the integrated action signal and the proportional action signal to produce the process input.

2. The feedback controller of claim 1 wherein said fuzzy logic includes means for producing a differential action signal that increases with increases of error signal when the magnitude of the differential feedback is at a predetermined small range and increases with increases of the opposite of the differential feedback signal when the differential feedback signal magnitude is at a predetermined large range larger than the small range.

3. The feedback controller of claim 1 wherein said fuzzy logic includes means for producing a proportional action signal increasing with increases in the error signal and decreasing with increases in the differential feedback signal when the differential feedback signal magnitude is at the predetermined large range.

4. The feedback controller of claim 1 further including an adjuster receiving the reference input and modifying the differential action signal based on the reference input.

5. The feedback controller of claim 1 further including an adjuster receiving the reference input and modifying the proportional action signal based on the reference input.

6. The feedback controller of claim 1 further including an adjuster receiving the process output and modifying the proportional action signal based on the process output.

7. The feedback controller of claim 1 further including a limiter for decreasing the value of the integrated feedback signal in response to the process input exceeding a predetermined magnitude.

8. A method of controlling a process with a fuzzy logic controller, the process having a process input and a process output, comprising the steps of:

receiving a reference input related to a desired process output;

comparing the reference input to the process output to produce an error signal;

differentiating the process output to create feedback difference signal; and

applying a set of fuzzy rules to the error signal and the feedback difference signal to produce the process input signal having an integral part, the set of fuzzy rules determining a magnitude of the feedback difference signal and a magnitude of the error signal and selectively permitting change in the integral part based on at least one of said magnitude of the feedback difference signal and said magnitude of the error signal.

9. A method of controlling a process with a fuzzy logic controller, the process having a process input and process output, comprising the steps of:

receiving a reference input related to a desired process output

comparing the reference input to the process output to produce an error signal;

differentiating the process output to create feedback difference signal; and

applying a set of fuzzy rules to the error signal and the feedback difference signal to produce the process input signal having an integral part, the set of fuzzy rules decreasing the integral part based on an increasing magnitude of the feedback difference signal.

10. A method of controlling a process with a fuzzy logic controller, the process having a process input and a process output, the method comprising the steps of:

receiving a reference input related to a desired process output;

comparing the reference input to the process output to generate an error signal;

differentiating at least one of the error signal and the process output to generate a feedback difference signal; and

,

applying a set of fuzzy rules to the error signal and the feedback difference signal to generate the process input signal having an integral part.