bicycleIftommBenchmark.py
You can view and download this file on Github: bicycleIftommBenchmark.py
1#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
2# This is an EXUDYN example
3#
4# Details: bicycle Iftomm benchmark example
5# https://www.iftomm-multibody.org/benchmark/problem/Uncontrolled_bicycle/
6#
7# Author: Johannes Gerstmayr
8# Date: 2021-06-22
9#
10# Copyright:This file is part of Exudyn. Exudyn is free software. You can redistribute it and/or modify it under the terms of the Exudyn license. See 'LICENSE.txt' for more details.
11#
12#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
13
14
15import exudyn as exu
16from exudyn.itemInterface import *
17from exudyn.utilities import * #includes itemInterface and rigidBodyUtilities
18import exudyn.graphics as graphics #only import if it does not conflict
19from exudyn.graphicsDataUtilities import *
20
21from math import sin, cos, pi
22import numpy as np
23
24SC = exu.SystemContainer()
25mbs = SC.AddSystem()
26
27
28#%%++++++++++++++++++++++++++++++++++++++++++++++++
29#coordinate system according to IFToMM:
30#note: here, wheels are rotated as local wheel axis=x, z points upwards in EXUDYN model
31# ox P2
32# oooo o
33# oooo o
34# +++ oooo o +++
35# + + ooo o +
36# + oooo + o +
37# + xP1+ + xP3+
38# + + + +
39# + + + +
40# +++ +++
41# x---------------------------x----------------------> x
42# | <- w ->
43# v z
44
45
46#parameters
47sZ = -1 #switch z coordinate compared to IFToMM description
48w = 1.02 #wheel base (distance of wheel centers)
49c = 0.08 #trail
50lam = pi/10 #steer axis tilt (rad)
51g = [0,0,9.81*sZ] #gravity in m/s^2
52
53#rear wheel R:
54rR = 0.3 #rear wheel radius
55mR = 2 #rear wheel mass
56IRxx = 0.0603 #rear wheel inertia xx = zz ; but in EXUDYN, x=rotation axis!
57IRyy = 0.12 #rear wheel inertia yy (around wheel axis)
58inertiaR = RigidBodyInertia(mass=mR, inertiaTensor=np.array([[IRyy,0,0],[0,IRxx,0],[0,0,IRxx]]))
59
60#front wheel F:
61rF = 0.35 #rear wheel radius
62mF = 3 #rear wheel mass
63IFxx = 0.1405 #rear wheel inertia xx = zz ; but in EXUDYN, x=rotation axis!
64IFyy = 0.28 #rear wheel inertia yy (around wheel axis)
65inertiaF = RigidBodyInertia(mass=mF, inertiaTensor=np.array([[IFyy,0,0],[0,IFxx,0],[0,0,IFxx]]))
66
67#rear body B:
68xB = 0.3 #COM x
69zB = -0.9*sZ #COM z
70bCOM = np.array([xB, 0, zB])
71mB = 85 #rear body (and driver) mass
72zz=-1
73inertiaB = RigidBodyInertia(mass=mB,
74 inertiaTensor=np.array([[9.2,0,2.4*zz],[0,11,0],[2.4*zz,0,2.8]]),
75 # inertiaTensor=np.diag([1,1,1]),
76 com=np.zeros(3)) #reference position = COM for this body
77 # com=bCOM)
78
79#front Handlebar H:
80xH = 0.9 #COM x
81zH = -0.7*sZ #COM z
82hCOM = np.array([xH, 0, zH])
83mH = 4 #handle bar mass
84inertiaH = RigidBodyInertia(mass=mH,
85 inertiaTensor=np.array([[0.05892, 0, -0.00756*zz],[0,0.06,0],[-0.00756*zz, 0, 0.00708]]),
86 # inertiaTensor=np.diag([1,1,1]),
87 com=np.zeros(3)) #reference position = COM for this body
88 # com=hCOM)
89
90#geometrical parameters for joints
91P1 = np.array([0,0,-0.3*sZ])
92P2 = np.array([0.82188470506, 0, -0.85595086466*sZ])
93P3 = np.array([w, 0, -0.35*sZ])
94
95
96#stable velocity limits according to linear theory:
97vMin = 4.29238253634111
98vMax = 6.02426201538837
99
100maneuver = 'M1'
101if maneuver == 'M1':
102 vX0 = 4. #initial forward velocity in x-direction
103 omegaX0 = 0.05 #initial roll velocity around x axis
104elif maneuver == 'M2':
105 vX0 = 4.6 #initial forward velocity in x-direction
106 omegaX0 = 0.5 #initial roll velocity around x axis
107elif maneuver == 'M3':
108 vX0 = 8 #initial forward velocity in x-direction
109 omegaX0 = 0.05 #initial roll velocity around x axis
110
111omegaRy0 = -vX0/rR*sZ #initial angular velocity of rear wheel
112omegaFy0 = -vX0/rF*sZ #initial angular velocity of front wheel
113
114#%%++++++++++++++++++++++++++++++++++++++++++++++++
115#visualization:
116dY = 0.02
117#graphicsFrame = graphics.Brick(centerPoint=[0,0,0],size=[dFoot*1.1,0.7*rFoot,0.7*rFoot], color=graphics.color.lightred)
118graphicsR = graphics.Cylinder(pAxis=[-1*dY,0,0], vAxis=[dY*2,0,0], radius=rR, color=graphics.color.steelblue, nTiles=4)
119graphicsF = graphics.Cylinder(pAxis=[-1*dY,0,0], vAxis=[dY*2,0,0], radius=rF, color=graphics.color.steelblue, nTiles=4)
120graphicsB = graphics.Cylinder(pAxis=P1-bCOM, vAxis=P2-P1, radius=dY*1.5, color=graphics.color.lightred)
121graphicsB2 = graphics.Sphere(point=[0,0,0], radius=3*dY, color=graphics.color.lightgrey)
122graphicsH = graphics.Cylinder(pAxis=P3-hCOM, vAxis=P2-P3, radius=dY*1.3, color=graphics.color.lightgreen)
123
124#option to track motion of bicycle
125#old version; does not work any more to set state during graphics user function => use trackMarker
126if False:
127 #add user function to track bicycle frame
128 def UFgraphics(mbs, objectNum):
129 n = mbs.variables['nTrackNode']
130 p = mbs.GetNodeOutput(n,exu.OutputVariableType.Position,
131 configuration=exu.ConfigurationType.Visualization)
132 rs=SC.renderer.GetState()
133 A = np.array(rs['modelRotation'])
134 p = A.T @ p
135 rs['centerPoint']=[p[0],p[1],p[2]]
136 SC.renderer.SetState(rs)
137 return []
138
139 #add object with graphics user function
140 oGround2 = mbs.AddObject(ObjectGround(visualization=
141 VObjectGround(graphicsDataUserFunction=UFgraphics)))
142#add rigid bodies
143#rear wheel
144resultR = mbs.CreateRigidBody(
145 referencePosition = P1,
146 referenceRotationMatrix = RotationMatrixZ(np.pi*0.5),
147 initialVelocity = [vX0, omegaX0*P1[2]*sZ, 0],
148 initialAngularVelocity = [omegaX0, omegaRy0, 0],
149 inertia = inertiaR,
150 gravity = g,
151 graphicsDataList = [graphicsR],
152 returnDict = True)
153
154nR, bR = resultR['nodeNumber'], resultR['bodyNumber']
155
156mbs.variables['nTrackNode'] = nR #node to be tracked
157
158#front wheel
159resultF = mbs.CreateRigidBody(
160 referencePosition = P3,
161 referenceRotationMatrix = RotationMatrixZ(pi*0.5),
162 initialVelocity = [vX0, omegaX0*P3[2]*sZ, 0],
163 initialAngularVelocity = [omegaX0, omegaFy0, 0],
164 inertia = inertiaF,
165 gravity = g,
166 nodeType = exu.NodeType.RotationEulerParameters,
167 graphicsDataList = [graphicsF],
168 returnDict = True
169)
170nF, bF = resultF['nodeNumber'], resultF['bodyNumber']
171
172#read body
173resultB = mbs.CreateRigidBody(
174 referencePosition = bCOM,
175 initialVelocity = [vX0, omegaX0*bCOM[2]*sZ, 0],
176 initialAngularVelocity = [omegaX0, 0, 0],
177 inertia = inertiaB,
178 gravity = g,
179 nodeType = exu.NodeType.RotationEulerParameters,
180 graphicsDataList = [graphicsB, graphicsB2],
181 returnDict = True
182)
183nB, bB = resultB['nodeNumber'], resultB['bodyNumber']
184
185#handle
186resultH = mbs.CreateRigidBody(
187 referencePosition = hCOM,
188 initialVelocity = [vX0, omegaX0*hCOM[2]*sZ, 0],
189 initialAngularVelocity = [omegaX0, 0, 0],
190 inertia = inertiaH,
191 gravity = g,
192 nodeType = exu.NodeType.RotationEulerParameters,
193 graphicsDataList = [graphicsH],
194 returnDict = True
195)
196nH, bH = resultH['nodeNumber'], resultH['bodyNumber']
197
198
199#%%++++++++++++++++++++++++++++++++++++++++++++++++
200#ground body and marker
201gGround = graphics.CheckerBoard(point=[0,0,0], size=50, nTiles=64)
202oGround = mbs.CreateGround(graphicsDataList=[gGround])
203markerGround = mbs.AddMarker(MarkerBodyRigid(bodyNumber=oGround, localPosition=[0,0,0]))
204
205markerR = mbs.AddMarker(MarkerBodyRigid(bodyNumber=bR, localPosition=[0,0,0]))
206markerF = mbs.AddMarker(MarkerBodyRigid(bodyNumber=bF, localPosition=[0,0,0]))
207markerB1 = mbs.AddMarker(MarkerBodyRigid(bodyNumber=bB, localPosition=P1-bCOM))
208
209sMarkerR = mbs.AddSensor(SensorMarker(markerNumber=markerR, outputVariableType=exu.OutputVariableType.Position))
210sMarkerB1= mbs.AddSensor(SensorMarker(markerNumber=markerB1,outputVariableType=exu.OutputVariableType.Position))
211
212#%%++++++++++++++++++++++++++++++++++++++++++++++++
213#add joints:
214useJoints = True
215if useJoints:
216 oJointRW = mbs.CreateRevoluteJoint(bodyNumbers=[bR, bB], position=P1, axis=[0,1,0],
217 axisRadius=0.5*dY, axisLength=5*dY)
218 oJointFW = mbs.CreateRevoluteJoint(bodyNumbers=[bF, bH], position=P3, axis=[0,1,0],
219 axisRadius=0.5*dY, axisLength=5*dY)
220 oJointSteer = mbs.CreateRevoluteJoint(bodyNumbers=[bB, bH],
221 position=P2-bCOM, useGlobalFrame=False,
222 axis=RotationMatrixY(-lam) @ [0,0,1],
223 axisRadius=0.5*dY, axisLength=5*dY)
224#%%++++++++++++++++++++++++++++++++++++++++++++++++
225#add 'rolling disc' for wheels:
226cStiffness = 5e4*10 #spring stiffness: 50N==>F/k = u = 0.001m (penetration)
227cDamping = cStiffness*0.05*0.1 #think on a one-mass spring damper
228nGenericR = mbs.AddNode(NodeGenericData(initialCoordinates=[0,0,0], numberOfDataCoordinates=3))
229if False:
230 oRollingR=mbs.AddObject(ObjectConnectorRollingDiscPenalty(markerNumbers=[markerGround, markerR],
231 nodeNumber = nGenericR,
232 discRadius=rR,
233 planeNormal=[0,0,1],
234 dryFriction=[0.8,0.8],
235 dryFrictionProportionalZone=1e-2,
236 rollingFrictionViscous=0.,
237 contactStiffness=cStiffness,
238 contactDamping=cDamping,
239 #activeConnector = False, #set to false to deactivated
240 visualization=VObjectConnectorRollingDiscPenalty(show=True,
241 discWidth=dY, color=graphics.color.blue)))
242
243 nGenericF = mbs.AddNode(NodeGenericData(initialCoordinates=[0,0,0], numberOfDataCoordinates=3))
244 oRollingF=mbs.AddObject(ObjectConnectorRollingDiscPenalty(markerNumbers=[markerGround, markerF],
245 nodeNumber = nGenericF,
246 discRadius=rF,
247 planeNormal=[0,0,1],
248 dryFriction=[0.8,0.8],
249 dryFrictionProportionalZone=1e-2,
250 rollingFrictionViscous=0.,
251 contactStiffness=cStiffness,
252 contactDamping=cDamping,
253 #activeConnector = False, #set to false to deactivated
254 visualization=VObjectConnectorRollingDiscPenalty(show=True, discWidth=dY, color=graphics.color.blue)))
255else:
256 if True:
257 oRollingR=mbs.AddObject(ObjectJointRollingDisc(markerNumbers=[markerGround, markerR],
258 discRadius=rR,
259 visualization=VObjectJointRollingDisc(show=True, discWidth=dY, color=graphics.color.blue)))
260
261 oRollingF=mbs.AddObject(ObjectJointRollingDisc(markerNumbers=[markerGround, markerF],
262 discRadius=rF,
263 visualization=VObjectJointRollingDisc(show=True, discWidth=dY, color=graphics.color.blue)))
264
265
266
267#%%++++++++++++++++++++++++++++++++++++++++++++++++
268#add sensors
269addSensors = True
270if addSensors:
271 sForwardVel = mbs.AddSensor(SensorBody(bodyNumber=bB, fileName='solution/bicycleBvelLocal.txt',
272 localPosition=P1-bCOM,
273 outputVariableType=exu.OutputVariableType.VelocityLocal))
274
275 sBAngVelLocal = mbs.AddSensor(SensorBody(bodyNumber=bB, fileName='solution/bicycleBangVelLocal.txt',
276 outputVariableType=exu.OutputVariableType.AngularVelocityLocal))
277 sBrot = mbs.AddSensor(SensorBody(bodyNumber=bB, fileName='solution/bicycleBrot.txt',
278 outputVariableType=exu.OutputVariableType.Rotation))
279
280
281 bodies = [bB, bH, bR, bF]
282 massBodies = [mB, mH, mR, mF]
283 inertiaBodies = [inertiaB.inertiaTensor,
284 inertiaH.inertiaTensor,
285 inertiaR.inertiaTensor,
286 inertiaF.inertiaTensor]
287
288 nBodies = len(bodies)
289 sList = []
290 for b in bodies:
291 sPosCOM = mbs.AddSensor(SensorBody(bodyNumber=b, writeToFile=False,
292 outputVariableType=exu.OutputVariableType.Position))
293 sVelCOM = mbs.AddSensor(SensorBody(bodyNumber=b, writeToFile=False,
294 outputVariableType=exu.OutputVariableType.Velocity))
295 sAngVelLocal = mbs.AddSensor(SensorBody(bodyNumber=b, writeToFile=False,
296 outputVariableType=exu.OutputVariableType.AngularVelocityLocal))
297
298 sList += [sPosCOM,sVelCOM,sAngVelLocal]
299
300 if useJoints:
301 sSteerAngle = mbs.AddSensor(SensorObject(objectNumber=oJointSteer, fileName='solution/bicycleSteerAngle.txt',
302 outputVariableType=exu.OutputVariableType.Rotation))
303 sSteerVel = mbs.AddSensor(SensorObject(objectNumber=oJointSteer, fileName='solution/bicycleSteerVelocity.txt',
304 outputVariableType=exu.OutputVariableType.AngularVelocityLocal))
305
306
307 #create user joint for kinetic and potential energy
308 def UFsensorEnergy(mbs, t, sensorNumbers, factors, configuration):
309 E = 0
310 P = 0
311 for i in range(nBodies):
312 pos = mbs.GetSensorValues(sensorNumbers[i*3+0])
313 vel = mbs.GetSensorValues(sensorNumbers[i*3+1]) #vel
314 omega = mbs.GetSensorValues(sensorNumbers[i*3+2]) #ang vel local
315 E += 0.5 * NormL2(vel)**2 * massBodies[i]
316 E += 0.5 * np.array(omega) @ inertiaBodies[i] @ omega
317
318 P -= np.dot(g,pos)*massBodies[i]
319 return [P, E, E+P] #return potential, kinetic and total mechanical energy
320
321 sEnergy = mbs.AddSensor(SensorUserFunction(sensorNumbers=sList, #factors=[180/pi],
322 fileName='solution/sensorKineticPotentialEnergy.txt',
323 sensorUserFunction=UFsensorEnergy))
324
325 def UFsensorResults(mbs, t, sensorNumbers, factors, configuration):
326 energy = mbs.GetSensorValues(sensorNumbers[0])
327 forwardVel = mbs.GetSensorValues(sensorNumbers[1])
328 angVelLocalB = mbs.GetSensorValues(sensorNumbers[2])
329 rotB = mbs.GetSensorValues(sensorNumbers[3])
330 steerAngle = mbs.GetSensorValues(sensorNumbers[4])
331 steerVel = mbs.GetSensorValues(sensorNumbers[5])
332 return [rotB[0], angVelLocalB[0], forwardVel[0], energy[0], energy[1], energy[2], -steerAngle[2], -steerVel[2]] #return kinetic, potential and total mechanical energy
333
334 # 1=roll angle, 2=roll angular velocity, 3=forward speed, 4=potential energy, 5=kinetic energy, 6=mechanical energy, 7=steer angle, and 8=steer velocity
335 sResults = mbs.AddSensor(SensorUserFunction(sensorNumbers=[sEnergy,sForwardVel,sBAngVelLocal,sBrot, sSteerAngle, sSteerVel],
336 fileName='solution/sensorResults'+maneuver+'.txt',
337 sensorUserFunction=UFsensorResults))
338
339#%%++++++++++++++++++++++++++++++++++++++++++++++++
340#simulate:
341mbs.Assemble()
342
343pR = mbs.GetSensorValues(sMarkerR)
344pB1 = mbs.GetSensorValues(sMarkerB1)
345print("pR=",pR)
346print("pB1=",pB1)
347simulationSettings = exu.SimulationSettings() #takes currently set values or default values
348
349tEnd = 5
350h=0.001 #use small step size to detext contact switching
351
352simulationSettings.timeIntegration.numberOfSteps = int(tEnd/h)
353simulationSettings.timeIntegration.endTime = tEnd
354simulationSettings.solutionSettings.writeSolutionToFile= False #set False for CPU performance measurement
355simulationSettings.solutionSettings.sensorsWritePeriod = 0.01
356simulationSettings.solutionSettings.outputPrecision = 16
357
358simulationSettings.timeIntegration.verboseMode = 1
359#simulationSettings.linearSolverSettings.ignoreSingularJacobian = True
360
361# simulationSettings.timeIntegration.generalizedAlpha.useIndex2Constraints = True
362# simulationSettings.timeIntegration.generalizedAlpha.useNewmark = True
363simulationSettings.timeIntegration.generalizedAlpha.spectralRadius = 0.7
364simulationSettings.timeIntegration.generalizedAlpha.computeInitialAccelerations=True
365simulationSettings.timeIntegration.newton.useModifiedNewton = True
366
367#SC.visualizationSettings.general.useMultiThreadedRendering = False
368SC.visualizationSettings.nodes.show = True
369SC.visualizationSettings.nodes.drawNodesAsPoint = False
370SC.visualizationSettings.nodes.showBasis = True
371SC.visualizationSettings.nodes.basisSize = 0.015
372
373SC.visualizationSettings.view0.camera.trackMarker = markerR #rear wheel
374
375if False: #record animation frames:
376 SC.visualizationSettings.exportImages.saveImageFileName = "animation/frame"
377 SC.visualizationSettings.view0.window.renderWindowSize=[1600,1024]
378 SC.visualizationSettings.openGL.multiSampling = 4
379 simulationSettings.solutionSettings.recordImagesInterval = 0.02
380
381SC.visualizationSettings.general.autoFitScene = False #use loaded render state
382useGraphics = True
383if useGraphics:
384 SC.renderer.Start()
385 if 'renderState' in exu.sys:
386 SC.renderer.SetState(exu.sys[ 'renderState' ])
387 SC.renderer.DoIdleTasks()
388
389mbs.SolveDynamic(simulationSettings, solverType=exu.DynamicSolverType.TrapezoidalIndex2)
390#mbs.SolveDynamic(simulationSettings, showHints=True)
391
392
393#%%+++++++++++++++++++++++++++++
394if useGraphics:
395 SC.renderer.DoIdleTasks()
396 SC.renderer.Stop() #safely close rendering window!
397
398#%%++++++++++++++++++++++++++++++++++++++++++++++q+++++++
399if addSensors:
400 #plot results
401
402
403
404 import matplotlib.pyplot as plt
405 import matplotlib.ticker as ticker
406 plt.close('all')
407
408
409 # mbs.PlotSensor(sensorNumbers=[sBpos,sBpos,sBpos], components=[0,1,2])
410 #plt.figure('lateral position')
411 #mbs.PlotSensor(sensorNumbers=[sBpos], components=[1])
412
413 plt.figure('forward velocity')
414 mbs.PlotSensor(sensorNumbers=[sForwardVel], components=[0])
415 # mbs.PlotSensor(sensorNumbers=[sBvelLocal,sBvelLocal,sBvelLocal], components=[0,1,2])
416
417 # plt.figure('local ang velocities')
418 # mbs.PlotSensor(sensorNumbers=[sBAngVelLocal,sBAngVelLocal,sBAngVelLocal], components=[0,1,2])
419 # if False:
420 # import matplotlib.pyplot as plt
421 # import matplotlib.ticker as ticker
422
423 # 1=roll angle, 2=roll angular velocity, 3=forward speed, 4=potential energy, 5=kinetic energy, 6=mechanical energy, 7=steer angle, and 8=steer velocity
424 data = np.loadtxt('solution/uncontrolledBicycleGonzalez.txt')#, comments='#', delimiter='')
425 plt.plot(data[:,0], data[:,9], 'b:',label='')
426
427 data2 = np.loadtxt('solution/uncontrolledBicycleSanjurjo.txt')#, comments='#', delimiter='')
428 plt.plot(data2[:,0], data2[:,3+8], 'g:',label='')
429
430 plt.figure('steer vel')
431 mbs.PlotSensor(sensorNumbers=[sSteerVel], components=[2])
432 plt.plot(data2[:,0], -data2[:,8+8], 'g:',label='')
433
434 plt.figure('steer ang')
435 mbs.PlotSensor(sensorNumbers=[sSteerAngle], components=[2])
436 plt.plot(data2[:,0], -data2[:,7+8], 'g:',label='')
437
438 plt.figure('roll')
439 mbs.PlotSensor(sensorNumbers=[sBrot], components=[0])
440 plt.plot(data2[:,0], data2[:,1+8], 'g:',label='')
441
442 plt.figure('roll ang vel')
443 mbs.PlotSensor(sensorNumbers=[sBAngVelLocal], components=[0])
444 plt.plot(data2[:,0], data2[:,2+8], 'g:',label='')
445
446
447 plt.figure('potential energy')
448 mbs.PlotSensor(sensorNumbers=[sEnergy], components=[0])
449 plt.plot(data2[:,0], data2[:,4+8], 'g:',label='')
450
451 plt.figure('kinetic energy')
452 mbs.PlotSensor(sensorNumbers=[sEnergy], components=[1])
453 plt.plot(data2[:,0], data2[:,5+8], 'g:',label='')
454
455 plt.figure('total energy')
456 mbs.PlotSensor(sensorNumbers=[sEnergy], components=[2])
457
458 dataE = np.loadtxt('solution/sensorKineticPotentialEnergy.txt', comments='#', delimiter=',')
459 performance = 100*(max(dataE[:,3]) - min(dataE[:,3])) / dataE[0,3]
460 print("performance = ", performance, "(must by < 1e-3)")
461
462 #CPU performance with 20 seconds simulation time, maneuver 2
463 #performance = 0.000915 < 0.001: max h=0.014; CPU time = 0.596 seconds on Intel Core i9
464 #reference solution computed with:
465 # performance = 6.423e-06: max h=0.001; CPU time = 5.5935 seconds on Intel Core i9
466
467
468#%%+++++++++++++++++
469#merge result files for IFToMM
470if True:
471 dataM1 = np.loadtxt('solution/sensorResultsM1.txt', comments='#', delimiter=',')
472 dataM2 = np.loadtxt('solution/sensorResultsM2.txt', comments='#', delimiter=',')
473 dataM3 = np.loadtxt('solution/sensorResultsM3.txt', comments='#', delimiter=',')
474
475 data = np.hstack((dataM1,dataM2[:,1:],dataM3[:,1:]))
476 np.savetxt('solution/bicycleResultsIFToMM.txt', data, fmt='%1.15e')
477
478# benchmark results:
479# 6.423e-06
480# 5.5935
481# Intel(R) Core(TM) i9-7940X CPU @ 3.10GHz
482# Simulated using C++/Python library EXUDYN, see https://github.com/jgerstmayr/EXUDYN.
483# Solved using implicit trapezoidal rule (energy conserving) with Index 2 constraint reduction, using redundant coordinate formulation. Rigid bodies are modeled with Euler parameters.
484# With a larger step size of 0.014 we still obtain a performance <0.001, but have CPU time of 0.596 seconds.