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Active Steering Project. Andrew Odhams Richard Roebuck David Cebon 2 nd April 2009. Contents. Control concept Low speed testing High speed testing Conclusions. ACTIVE STEERING. Lead Point. Follow Point. Controller Low speed High speed Conclusions.
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Active Steering Project Andrew Odhams Richard Roebuck David Cebon 2nd April 2009
Contents • Control concept • Low speed testing • High speed testing • Conclusions
ACTIVE STEERING Lead Point Follow Point • Controller • Low speed • High speed • Conclusions • Define Lead point and follow point • Calculate articulation angle of a perfect tracking trailer • Steer in relation to difference between real and ideal articulation angle • Set individual wheel angles to equalise tyre forces
PATH FOLLOWING TESTS 11.25m 8.9m 12.5m 5.3m • Controller • Low speed • High speed • Conclusions UK Roundabout Test
LOW SPEED ROUNDABOUT • Controller • Low speed • High speed • Conclusions • Unsteered:
LOW SPEED ROUNDABOUT • Controller • Low speed • High speed • Conclusions • Command Steer:
LOW SPEED ROUNDABOUT Locked Command CVDC • Controller • Low speed • High speed • Conclusions • Offtracking of 5th Wheel:
LOW SPEED ROUNDABOUT CVDC Command Locked • Controller • Low speed • High speed • Conclusions • Offtracking of Trailer Rear:
LOW SPEED ROUNDABOUT • Controller • Low speed • High speed • Conclusions • Tail Swing: Command Locked Path Following • Tail swings into blind spot
LATERAL TYRE FORCES Unsteered: • Controller • Low speed • High speed • Conclusions
LATERAL TYRE FORCES • Controller • Low speed • High speed • Conclusions • Unsteered: • FIXED TRAILER: 36.6 kN
LATERAL TYRE FORCES • Controller • Low speed • High speed • Conclusions • Path following Strategy: • CT-AT TRAILER: 6.1 kN
Rollover Prevention • Controller • Low speed • High speed • Conclusions • Rationale • Reduce the risk of rollover by controlling the path of the trailer • Optimal linear control strategy • Minimise lateral acceleration • Maintain acceptable path error • Virtual Driver Model • Original path following controller is nonlinear • ‘Virtual driver model’ performs same function using linear control
Virtual Driver Modelof Trailer Steering Y Current position of 5th wheel Semi-trailer Tractor X O uT Snapshot of tractor semi-trailer and path of 5th wheel at time instant k • Controller • Low speed • High speed • Conclusions
Optimal Control Strategy Discrete-time equations for vehicle and path of 5th wheel The control objectives The cost function where and Path error Lateral Accel’n Steering effort • Controller • Low speed • High speed • Conclusions
Results continued Manoeuvre: Lane change Vehicle speed: 88km/h Fixed value of Q1/R=0.05 • Controller • Low speed • High speed • Conclusions
Selection of weighting value 25% reduction Conventional Q2/R=0.005 Manoeuvre: Lane change Vehicle speed: 88km/h Fixed value of Q1/R=0.05 • Controller • Low speed • High speed • Conclusions
Path errors in lane change • Controller • Low speed • High speed • Conclusions
After lane change • Controller • Low speed • High speed • Conclusions V=88km/h Locked Path Following Control
PERFORMANCE MEASURES • Controller • Low speed • High speed • Conclusions
Conclusions Improved low-speed manoeuvrability Improved productivity (LCV) Improved safety Reduced tyre scrub Reduced tyre wear Reduced vehicle wear Improved high-speed stability 25% LTR reduction with no increase of PE Important for LCV