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Fig 1.

Traditional Stribeck friction model.

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Fig 1 Expand

Fig 2.

Basic principles of system identification.

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Fig 2 Expand

Fig 3.

LuGre model parameter identification flow chart.

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Fig 3 Expand

Fig 4.

Comparison curve of objective function (J).

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Fig 5.

LuGre parameter identification convergence process.

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Fig 5 Expand

Fig 6.

Comparison curve of objective function ().

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Fig 7.

Comparison of different objective function value curves.

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Fig 8.

Flow chart of improved annealing genetic synthesis algorithm.

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Fig 8 Expand

Fig 9.

High precision open servo platform system structure.

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Fig 10.

Physical picture of linear motor platform: 1-Gantry linear motor platform; 2-Linear motor servo drive; 3- industrial control computer.; 4-X-axis grating ruler displacement sensor; 5-X-axis motor; 6- industrial control computer; 7- Y-axis grating ruler displacement sensor.

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Fig 10 Expand

Fig 11.

Simulation and experimental research route.

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Fig 12.

Friction-velocity relationship curve.

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Fig 13.

Sinusoidal signal simulation.

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Fig 14.

Estimation of load changes.

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Fig 15.

Friction compensation simulation.

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Fig 16.

System response curve.

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Table 1.

LuGre friction model parameters.

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Table 1 Expand

Fig 17.

Comparison results of different speeds and friction torques.

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Fig 18.

Feedforward friction compensation model.

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Fig 19.

Speed tracking curve before and after friction compensation.

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Fig 20.

Position tracking curve before and after friction compensation.

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Fig 21.

Control shear force and control force of identification values.

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Fig 22.

Friction, control force and displacement loop of identification value.

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