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Nonlinear Translational Damper

Nonlinear damper in a translational system

  • Nonlinear Translational Damper block

Libraries:
Simscape / Driveline / Couplings & Drives / Springs & Dampers

Description

The Nonlinear Translational Damper block represents a nonlinear translational damper. Polynomial and table lookup parameterizations define the nonlinear relationship between damping force and relative linear velocity. The damping force can be symmetric or asymmetric about the zero velocity point. The block applies equal and opposite damping forces on the two translational conserving ports.

The symmetric polynomial parameterization defines the damping force for both positive and negative relative velocities according to the expression:

F=b1v+sign(v)b2v2+b3v3+sign(v)b4v4+b5v5,

where:

  • F — Damping force

  • b1, b2,..., b5 — Damping coefficients

  • v — Relative linear velocity between ports R and C, v=vRvC

  • vR — Absolute linear velocity associated with port R

  • vC — Absolute linear velocity associated with port C

To avoid zero-crossings that slow simulation, eliminate the sign function from the polynomial expression by specifying an odd polynomial (b2,b4 = 0).

The two-sided polynomial parameterization defines the damping force for both positive and negative relative velocities according to the expression:

F={b1ev+b2ev2+b3ev3+b4ev4+b5ev5,v0b1cvb2cv2+b3cv3b4cv4+b5cv5,v<0,

where:

  • b1e, b2e, ..., b5e — Damping coefficients for positive relative velocities

  • b1c, b2c, ..., b5c — Damping coefficients for negative relative velocities

Positive relative velocities correspond to damper extension when ports R and C move apart. Negative relative velocities correspond to damper contraction when ports R and C move together.

Both polynomial parameterizations use a fifth-order polynomial expression. To use a lower-order polynomial, set the unneeded higher-order coefficients to zero. For polynomials of order greater than five, fit to a polynomial of order smaller than or equal to five, or use the table lookup parameterization.

The table lookup parameterization defines damping force based on a set of velocity and force vectors. If not included in the vectors, the block automatically adds a data point at the origin, that is, the intersection of zero velocity and zero force.

Assumptions and Limitations

The block assumes viscous damping. The damping force depends only on velocity.

Examples

Ports

Conserving

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Mechanical translational conserving port associated with the shaft.

Mechanical translational conserving port associated with the case.

Parameters

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Whether to parameterize damping by polynomial or table lookup.

Whether to use a symmetric or two-sided table lookup parameterization.

Damping coefficients. Physical units apply to the first element.

Dependencies

To enable this parameter, set Parameterization to By polynomial and Symmetry to Symmetric.

Extension damping coefficients. Physical units apply to the first element.

Dependencies

To enable this parameter, set Parameterization to By polynomial and Symmetry to Two-sided.

Contraction damping coefficients. Physical units apply to the first element.

Dependencies

To enable this parameter, set Parameterization to By polynomial and Symmetry to Two-sided.

Translational velocity. The vector requires a minimum number of elements based on the interpolation method. When you set Interpolation method to:

  • Linear, the minimum is two.

  • Smooth, the minimum is three.

The elements correspond one-to-one with the Force vector parameter.

Dependencies

To enable this parameter, set Parameterization to By table lookup.

Damping force for a given translational velocity. The vector requires a minimum number of elements based on the interpolation method. When you set Interpolation method to:

  • Linear, the minimum is two.

  • Smooth, the minimum is three.

The elements correspond one-to-one with the Velocity vector parameter.

Dependencies

To enable this parameter, set Parameterization to By table lookup.

Method to use for lookup table breakpoint interpolation. The block uses the tablelookup function to model nonlinearity by using array data to map input values to output values:

  • Linear — Select this option for the lowest computational cost.

  • Smooth — Select this option to produce a continuous curve with continuous first-order derivatives.

For more information, see tablelookup.

Dependencies

To enable this parameter, set Parameterization to By table lookup.

Method to use for lookup table breakpoint extrapolation. This method determines the output value when the input value is outside the range specified in the argument list. The block uses the tablelookup function to model nonlinearity by using array data to map input values to output values:

  • Linear — Select this option to produce a curve with continuous first-order derivatives in the extrapolation region and at the boundary with the interpolation region.

  • Nearest — Select this option to produce an extrapolation that does not go above the highest point in the data or below the lowest point in the data.

  • Error — Select this option to avoid extrapolating when you want your data to be within the table range. If the input signal is outside the range of the table, the simulation stops and generates an error.

Dependencies

To enable this parameter, set Parameterization to By table lookup.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced in R2013a