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Hybrid system modelling, simulation and visualisation: A crane system

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CNOOC Crane Barge - AMCLYDE Crane. 5000 tonne lift. 3 Hooks plus a Whip Hook ... CNOOC Crane Barge. CNOOC. 3 x 5MW Diesel generators. 2 x 6.6kV 3ph 50Hz buses ... – PowerPoint PPT presentation

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Title: Hybrid system modelling, simulation and visualisation: A crane system


1
Hybrid system modelling, simulation and
visualisation A crane system
UNIVERSITY OF CAMBRIDGE
2003 VTB Users and Developers Conference
September 17-18, 2003
Sahan Gamage and Patrick Palmer University of
Cambridge Department of Engineering
2
OVERVIEW
  • 1. Brief Introduction to the system
  • 2. Mathematical Model
  • 3. Implementation in VTB/VXE
  • 4. Demonstration
  • 5. Simulation and Visualisation challenges
  • 6. Conclusions

3
CNOOC Crane Barge - AMCLYDE Crane
  • 5000 tonne lift
  • 3 Hooks plus a Whip Hook

4
CNOOC(Chinese National Offshore Oil Company)
Crane - Overview
  • High Power Demands
  • Multiple Large AC Drives
  • Power Management System
  • Integrated Mechanical and Electrical Systems

5
CNOOC
MECHANICAL SYSTEM
  • One main hook with 3800T max load
  • Two auxiliary hooks with 200T and 800T max
  • One whip hook with 50T max
  • 51m Boom
  • 6 degrees of freedom in the Mechanical System

6
CNOOC Crane Barge
7
CNOOC
ELECTRICAL SYSTEMS by Ansaldo Hill Graham
  • 3 x 5MW Diesel generators
  • 2 x 6.6kV 3ph 50Hz buses
  • 2 x 3MW Thrusters
  • 12 x 1150hp AC Winch Drives
  • 3 x 6.6kV input transformers with phase shift
    secondaries
  • Paralleled Diode rectifier bridges
  • dc bus in three sections
  • 9 x 1200 kW AC Drives
  • 4 Hoist, 2 Boom, 1 Whip and 6 Swing motors
  • 3 Shared braking resistors

8
AMCLYDE Crane One Line Diagram
1250A
6600V/3/50Hz
630A
630A
630A
EXTENDED DELTA (PSEUDO 24 PULSE)
3.5MVA
2.5MVA
3.5MVA
-7½º
7½º
DC BUS
BRAKING
BRAKING
BRAKING
MH
MH
BH
MH
BH
MH
7x GE Type GEB AC1150HP, 600V, 6 POLE, 800/1800RPM
6 x 400HP, 600V, 1000/1650RPM
HOISTS
SWING
HILL GRAHAM CONTROLS LTD
9
CNOOC
AMCLYDE CRANE CONTROLS - Ansaldo Hill Graham
  • Vector Control ac Drives
  • Speed reference inputs
  • Proportional Integral controllers
  • Motor current control with field weakening
  • Integrator and Torque limiters
  • Main 2 Aux. hooks share the same drive
  • 4 motors in the drive
  • Selected by clutches
  • Controller not aware of the drum selected
  • Whip hook has a separate motor and drum
  • 2 motor boom hoist system
  • 2 sets of 3 motor swing system

10
Design issues of the Crane
  • Resonance of the swing and boom systems
  • Crane Operator Training Pedals, hoist control
    levers and swing
  • Controller design for the motor system
  • Disc brakes on motor shafts for parking and
    Torque proving.
  • 85 efficiency on lifting
  • Use of Field weakening in lowering
  • Electro-Mechanical Stability of generators and
    the AVR control of bus volts.

11
Crane modelling
  • Inertial considerations are essential as the
    masses and moments of inertia of the crane
    components are high
  • Needs to model the full translational and
    rotational dynamics relative to an inertial
    (non-accelerating) frame of reference
  • Electrical drives modeled by their control
    function with an outer loop speed controller.
  • Overall system is controlled by the operator

12
Crane Mathematical Model
13
Crane Mathematical Model(2)
  • The rotation of the boom and the swing

14
Crane Dynamics Modelling
The basic dynamics of rotation (in Geometric
Algebra)
Use of Geometric Algebra gives ease of derivation
and Implementation in VTB
15
Inertial Torque of the Boom
16
Dynamics of the Boom
17
Crane Mathematical Model - Kinematics
18
Dynamics of the Load
(and motor torque demands)
19
Modelling the Crane in VTB
  • Complex Mechanical system with 5 degrees of
    freedom
  • Lumped load to remove twisting of the cables
  • Light cables so resonance in the cables is not
    possible
  • No swing controller implemented
  • Brake model implemented, with dynamic losses and
    torsion
  • Vector controlled ac drives modeled using dc
    motor equations
  • PI controllers on angular velocity of motors
  • Driver controller feedback to reference angular
    velocity

20
Crane System Implementation in VTB
21
Visualisation the Crane in VXE
  • Two methods
  • classical plots
  • 3D plug-ins
  • 3D plug-ins can be used in
  • flat build-in 3D models
  • hierarchy of elementary 3D models
  • In hierarchical method a special transform block
    glued to each plug-in before placing in the
    hierarchy
  • crane base -gtcrane body-gtcrane arm
  • hook (and the load) separate

22
Crane in VXE(2)
23
Interaction between VTB and VXE
  • Bi-directional
  • Data input to VXE
  • real-time data streams from VTB
  • calculated streams
  • from file
  • generated stream
  • Data in VXE can be fed to transform blocks to
  • scale/rotate/translate x,y,z (9 DoF) plug-ins
    down the hierarchy
  • Data can be fed back to VTB
  • keyboard and mouse control in VXE
  • any VTB model parameter can be fed

24
Crane in VXE
25
Crane Demonstration
  • Driving using control knobs
  • Effects on motor currents of the mechanical
    resonance
  • Control strategy on each swing, boom and lift
  • Application of break and torque proving

26
Discussion of Results
  • Resonance of the swing and boom systems can be
    seen in the motor currents
  • Damping and other control strategies can be
    observed
  • Crane Operator Training Pedals, hoist control
    levers and swing (left/right) through VTB but not
    everything (zero problem).
  • Visualisation and driver interaction identifies
    operational issues such as torque proving
    (remember last good motor current).

27
VTB Specific Issues
  • Flat VTB model hierarchy
  • Users need multiple-layer modelling facilities so
    that complex elements may be created from native
    parts.
  • e.g. crane from connecting mechanical parts
  • Harmonic analysis is important in mixed
    discipline simulation
  • e.g. analysis of electrical resonance caused by
    crane dynamics

28
Specific VTB Issues(2)
  • Lack of stiff solver limits VTB
  • e.g. complex dynamical equations in the crane
    system
  • Variable time step solver required
  • e.g. time step dependant unstability wrt some
    crane parameters
  • Manual derivation of RC companion model
    cumbersome for complex systems
  • e.g. RC companion model of the crane system is
    the time integration of the linearised system of
    the already complex model

29
Simulation and Visualisation Challenges
  • Multilevel modelling
  • breadth in model levels
  • e.g. system boundary
  • depth in model levels
  • e.g. how complex and closer to reality
  • Often inter-related
  • e.g. accurate modelling often needs expanding
    boundary

30
Simulation and Visualisation Challenges(2)
  • Automatic Level Changing
  • initial condition handling in level changes
  • different time stepping in subsystems
  • subsystem synchronisation and co-ordination
  • How to make the decision?
  • subsystem input activity
  • subsystem output demand
  • time and space constraints
  • user input of some form required

31
Visualisation driven Automatic levels
  • At a given time observer interacts with
    relatively few details
  • focused plot/ 3D visualisation window
  • opened feedback controls
  • This usually implies the level of detail required
  • zoom level -gt depth level
  • plots/3D/controls of limited subsystems -gt
    breadth level

32
Visualisation driven Automatic levels (2)
  • Examples
  • if time axis scaling of a rectifier is order of
    magnitude above AC input cycle a simple
    behavioural model may be adequate
  • if only the movement of the crane load is
    observed system boundary may be brought to a
    level of simple DC supply for motors
  • Combined with subsystem level change strategy,
    this may lead to consistent set of rules
  • Complex repeatability requirements since
    dynamical user dependant accuracies
  • Sensible manual over-rides required

33
Conclusions
  • Complex system with electrical and mechanical
    subsystems
  • Interdisciplinary issues have to be considered
  • dynamics of the crane,
  • control of the electrical motors,
  • torque proving
  • power supply transients
  • VTB is capable of handling these issues - but
    only by hand coding mechanical systems.

34
The Future?
  • Mechanisms made up of an assembly of simple parts
  • Multilevel mechanics modelling is required for
    complex systems
  • Automatic model change is desirable in complex
    system simulation
  • Visualisation cues may be used in simulation
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