AN ANALYSIS OF A RIDING CONTROL ALGORITHM FOR TWO WHEELED VEHICLES WITH A NEURAL NETWORK MODELING

This paper discusses the control algorithm of two wheeled vehicle rider based on a sensitivity analysis using the constructed model with neural network system. The main conclusions are: (1) The structured model has a capability of sufficiently representing the control motion of the rider which includes non-linear properties; (2) It is shown that the sensitivity analysis is able to analyze the control algorithm of a driver/rider; (3) From the results of sensitivity analysis, it is found that the rider always changes his steering torque gain to suit the environmental information; and (4) it seems that the rider control behaviour for the two stabilities, directional and standing, are independent of each other. (A) For the covering abstract of the symposium see IRRD 882950.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9026514743
• Corporate Authors:

  Swets & Zeitlinger

  P.O. Box 825
  2160 SZ Lisse,   Netherlands 
• Authors:
  • KAGEYAMA, I
  • OWADA, Y
• Conference:
  • THE DYNAMICS OF VEHICLES ON ROADS AND ON TRACKS. PROCEEDINGS OF THE 14TH IAVSD SYMPOSIUM, HELD AUGUST 21-25, 1995, ANN ARBOR, MICHIGAN, USA. SUPPLEMENT TO VEHICLE SYSTEM DYNAMICS
• Publication Date: 1996

Language

• English

Media Info

• Features: References;
• Pagination: p. 317-26
• Serial:
  • Volume: 25

Subject/Index Terms

• TRT Terms: Conferences; Control; Drivers; Driving; Dynamics; Handling characteristics; Mathematical models; Motorcycles; Sensitivity; Steering
• Uncontrolled Terms: Modifications
• Geographic Terms: Japan
• ITRD Terms: 8525: Conference; 3874: Control; 1772: Driver; 5473: Dynamics; 8053: Japan; 6473: Mathematical model; 9048: Modification; 1221: Motorcycle; 5928: Sensitivity; 1834: Steering (process); 1646: Vehicle handling
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00729403
• Record Type: Publication
• Source Agency: Institute for Road Safety Research, SWOV
• ISBN: 90-265-1474-3
• Files: ITRD
• Created Date: Dec 26 1996 12:00AM