Report of Investigations 9515: Aspects of Genetic Algorithm-Designed Fuzzy Logic Controllers

Details

• Journal Article:
  Tuscaloosa, AL: U.S. Department of the Interior, Bureau of Mines, RI 9515
• Personal Author:
  Fleming, J. W. ; Karr, Charles L. ; Vann, P. A.
• Description:
  The research described in the report is two-fold. First, the basic approach to developing a fuzzy logic controller (FLC) using genetic algorithms (GA's) is presented. The GA-designed FLC is developed for a specific physical system, a pH titration system. Second, empirical results are presented in which variations in the FLC implementation are compared. Specifically, the effects of altering five aspects of the pH FLC are considered: (1) membership function form, (2) number of fuzzy classes, (3) the center-of-area method, (4) implication operator, and (5) fuzzy rule form. Results indicate that the technique in which GA's are used to design FLC's is effective, and when this technique is used, variations in FLC implementation have little effect on FLC performance in a chosen control problem. [Description provided by NIOSH]
• Subjects:
  Occupational Health Safety
• Keywords:
  Computer-aided-control-systems; Controllers; Artificial-intelligence; Control-systems-design; pH; Titration; Graphs-charts; Process-control; Fuzzy-logic; Genetic-algorithms
• Source:
  Tuscaloosa, AL: U.S. Department of the Interior, Bureau of Mines, RI 9515, 1994 Jan; :1-16
• Series:
  NIOSH Numbered Publications   ; Mining Publications  
• Subseries:
  Report of Investigations
• Document Type:
  Text
• Genre:
  Report
• Place as Subject:
  Alabama ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  TURC - Tuscaloosa Research Center
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  22 pdf pages
• NIOSHTIC Number:
  nn:10012432
• NTIS Accession Number:
  PB95-136305
• Federal Fiscal Year:
  1994
• Peer Reviewed:
  False
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3b4cff6580b10dafa46dd9fae34bee211cbe8a315a835e1910603c39cceed2cb0b098ef1e620b5273b1945cec1e158a9a6745b707d5dedeb0c37133014faff21
• Download URL:
  https://stacks.cdc.gov/view/cdc/10061/cdc_10061_DS1.pdf
• File Type:
  [PDF - 1.11 MB ]