FUZZY SELF-GAIN TUNING CONTROLLER FOR ACTIVE SUSPENSION SYSTEM

This paper applies the concept of fuzzy gain scheduling to the active suspension controller design, in order to obtain better ride comfort under the limitation of specific rattle space. While considering the worst road roughness, the control gains are often assigned to prevent the suspension from hitting its stroke limit. If these controller gains are employed to control the suspension on a relatively smooth road, the rattle space will not be fully utilized and the ride comfort will be sacrificed. For improving this situation, the fuzzy inference system is used to tune the gains on line. When implementing the fuzzy system, the fuzzy sets of the output variables are determined by optimizing the proposed nominal controller, instead of being assigned manually or empirically. Simulations on various step road inputs are presented. The result shows that the developed control scheme can achieve a better ride comfort on a smooth road and keep the suspension deflection small on a rough road, compared to the linear time-invariant controller. For the covering abstract see IRRD E102946.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/899500732X
• Corporate Authors:

  ORGANIZING COMMITTEE 5TH WORLD CONGRESS

  KUSANG BLDG, 4TH FLOOR, 1009-5, DAECHI-DONG KANGNAM-KU
  SEOUL, ZZ KOREA    135-283
• Authors:
  • CHEN, S R
• Conference:
  • TOWARDS THE NEW HORIZON TOGETHER. PROCEEDINGS OF THE 5TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS, HELD 12-16 OCTOBER 1998, SEOUL, KOREA. PAPER NO. 3095
• Publication Date: 1998

Language

• English

Subject/Index Terms

• TRT Terms: Automatic control; Automation; Comfort; Control; Fuzzy logic; Suspension systems
• ITRD Terms: 3882: Automatic; 9138: Comfort; 3874: Control; 6485: Fuzzy logic; 1329: Suspension (veh)
• Subject Areas: Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 00781156
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 89-950073-2-X
• Files: ITRD
• Created Date: Jan 7 2000 12:00AM