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showcase-piezoelectric-damping-of-a-6-DoF-vibration-isolation-frame
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Piezoelectric damping of a 6-DoF vibration isolation frame

The performance of precision mechanisms can be limited by disturbing vibrations that are amplified at parasitic eigenfrequencies. For example, high-precision motion stage performances can suffer from vibrations in their metrology system. Over the last years, piezoelectric patches that are integrated into flexures have shown to be a promising approach for actively suppressing parasitic modes.

This article was written by Ruben Buitenhuis, mechatronic engineer at Demcon high-tech systems.

Key advantages

This approach poses several advantages over conventional Tuned Mass Dampers:

  • Adds virtually no mass or volume
  • Remains tunable
  • Integrates easily within flexure mechanisms

Moreover, this active approach allows suppression of a particular frequency without deteriorating others, which is difficult to achieve with viscous or viscoelastic dampers.

The demonstrator setup shows the technique on a 6 degree-of-freedom (DoF) system. Piezoelectric patches are used to suppress the nominal eigenfrequency of a newly designed six-DoF flexure-based vibration isolation system.

Demonstrator setup for the piezoelectric damping of a 6-DoF vibration isolation frame
Demonstrator setup for the piezoelectric damping of a 6-DoF vibration isolation frame
Figure 1: Overview of the designed suspension frame in CAD and assembled, with key components labelled.
Figure 1: Overview of the designed suspension frame in CAD and assembled, with key components labelled.

Figure 1 shows the designed system, consisting of two stages with three folded leaf flexures each. The first stage releases in-plane modes, while the second stage releases out-of-plane modes, together freeing all six DoF with a suspension frequency between 10 and 22 Hz. The six-folded leaf flexures have an integrated piezoelectric sensor and actuator in the form of a bimorph flexure, see Figure 2.

Figure 2 shows a schematic of a piezoelectric bimorph. Applying a voltage over the lower patch causes it to contract, bending the leaf flexure and moving mass m upwards. This stretches the top patch, resulting in an output voltage, allowing it to be used as a sensor detecting the movement.

Figure 2. Schematic of a piezoelectric bimorph.
Figure 2. Schematic of a piezoelectric bimorph.

design approach.

Key to the design's success was the utilization of the piezoelectric extension to the multibody software SPACAR [3], allowing for rapid design iterations and concept selection. Example results are shown in Figure 3. SPACAR was employed for two main purposes. First, it analyzed the vibration transmissibility from the floor to the metrology frame, indicating the nominal suspension modes and parasitic resonances. Second, it indicated the coupling from piezoelectric patch voltage to metrology frame movements, ensuring that the patches were able to suppress the nominal modes.

Transmissibility results were validated using conventional Finite Element Analysis. After building, system identification and structured parameter estimation helped in determining the actual mode shapes. This identification largely aligned with the SPACAR predictions, as shown in Table 1.

Table 1. Resonance mode frequencies as predicted by SPACAR, validated through Finite Element Analysis (FEA), and measured on the setup. These six modes are nominal suspension modes; higher modes are parasitic.

Figure 3. Results from SPACAR. Left: Transmissibility from floor vibrations along x (d_x) to the metrology frame. Right: coupling from piezoelectric patch voltage to metrology frame displacement along x.
Figure 3. Results from SPACAR. Left: Transmissibility from floor vibrations along x (d_x) to the metrology frame. Right: coupling from piezoelectric patch voltage to metrology frame displacement along x.
Table 1

Frequencies [Hz]

Mode 1

Mode 2

Mode 3

Mode 4

Mode 5

Mode 6

SPACAR

11.6

11.6

13.1

14.3

18.5

19.1

FEA

10.3

10.3

12.2

13.3

18.9

18.9

Measured

12.3

12.5

14.2

15.2

20.4

21.0

Modal decoupling was used to achieve a sufficiently decoupled system up to 25 Hz, indicated by the Relative Gain Array (RGA) being below 0.1 for those frequencies. This permitted a decoupled control approach for the six nominal suspension frequencies. A Positive Position Feedback (PPF) controller was tuned for each nominal mode, using H2-optimal tuning.

Figure 4. This mode is defined by -396x -478y. The input spectrum consists of white noise generated by the Short Stroke actuators, with the Short Stroke clamped in position. The parasitic modes observed between 60 and 197 Hz are caused by the clamping of the Short Stroke, making them results of the measurement method rather than internal modes [2].

Figure 4. Left: Normalized measured impulse responses for Modeshape 1, scaling the maximum amplitude to 1. Right: Normalized measured Power-Spectral-Density (PSD) in [1/Hz] for Modeshape 1.
Figure 4. Left: Normalized measured impulse responses for Modeshape 1, scaling the maximum amplitude to 1. Right: Normalized measured Power-Spectral-Density (PSD) in [1/Hz] for Modeshape 1.

results & conclusion.

The approach significantly increased modal damping from 0.4%-1.1% to 9%-13% [2]. Figure 4 shows the time and frequency domain improvements for one of the six mode shapes, with piezoelectric control damping the 13Hz resonance mode.

In conclusion, this work supports and highlights the potential of implementing piezoelectric damping within industrial applications. It is demonstrated that, with the current tools available, integration of piezoelectric patches can yield a substantial increase in modal damping, with values up to 13% being achieved. The comprehensive approach, from system design to experimental validation, provides a robust framework for future industrial applications.

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Portret-Jacco Hubregtse

Jacco Hubregtse

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