Ionic Polymer Metal Composites (IPMC) as Biomimetic sensors and Actuators Ranjitha Dorai Raj Intelligent and Self-Validating Sensors and Actuators Veda Vyas Mendu The Control of a Delta Wing

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Ionic Polymer Metal Composites (IPMC) as
Biomimetic sensors and Actuators
Ranjitha Dorai RajIntelligent
and Self-Validating Sensors and Actuators
Veda Vyas MenduThe
Control of a Delta Wing by Micromachined Sensors
and Actuators
Sumalatha Koppula
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Ionic Polymer Metal Composites (IPMC) as
Biomimetic sensors and Actuators

• Ranjitha Dorai Raj

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Introduction

• Ion-Exchange Polymer-Metal Composites (IPMC) are
  highly active actuators that show very large
  deformation in the presence of low applied
  voltage and exhibit low impedance.
• They operate best in a humid environment and can
  be made as a self-contained encapsulated
  actuators to operate in dry environments as well.

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Biomimetic Sensing Capability of IPMC

• - Here the focus is on the application of the
  IPMC Sensor on Quasi-static or dynamic
  displacement Sensing where the response of the
  Sensor against large imposed displacements is
  investigated .
• - IPMC strips generally bend towards they
  anode and if the voltage signal is reversed they
  also reverse their direction of bending.

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Quasi static sensing

• In Quasi-Static sensing a linear relationship
  exists between the voltage output and imposed
  quasi static displacement of the tip of the IPMC
  sensor.

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Dynamic Sensing

• When strips of IPMC are dynamically disturbed by
  means of a dynamic impact or shock loading a
  damped electrical response is observed.
• The dynamic response was observed to be highly
  repeatable with a fairly high bandwidth of
  hundreds of hertz.

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Applications of IPMC

• Muscle Actuators for Soft Robotic Applications.
• Linear and Platform Type Robotic Actuators.

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Conclusions

• IPMC strips are remarkable in accuracy and
  repeatability.
• They are superior to existing motion sensors and
  micro sensors.
• These types of composite muscles show excellent
  bending displacement that follow input signal
  very closely.

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References

• Grodzinsky, A.J., Electromechanics of Deformable
  Polyelectrolyte Membranes, Sc.D. Dissertation,
  Dept. Of Elec. Eng., MIT, Cambridge, June 1974.
• Yannas, I.V., Grodzinsky, A.J.,
  Electromechanical Energy Conversion With
  Collegan Fibers in an Acqueous Medium, Journal
  of Mechanochemical Cell Motility,
  vol.2,pp113-125,1973.

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Intelligent and self-validating Sensors and
Actuators

• Veda Vyas Mendu

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Introduction

• Technological advances in electronics, hardware
  and software mean that sensors and actuators can
  now make use of processing power, and perform
  functions not previously considered possible.
• The use of digital field-bus communications is
  increasing these days.
• Industry is showing an increasing interest in
  using intelligent sensors and actuators for
  condition monitoring and fault detection, both in
  the devices themselves and in the surrounding
  plant.

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• The term intelligent is used in a broad sense,
  intended to imply that a degree of sophistication
  is present in the device or system, or in its
  configuration.
• So that in case of a sensor, for example, it is
  able to make decisions based on its observations
  of the local environment and to adapt accordingly.

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SEVA Sensor

• The self-validating (SEVA) sensor is a conceptual
  model of an intelligent measurement system, which
  
• monitors its own performance and generates a set
  of generic quality indices for each measurement ,
  
• dynamic assessment of uncertainty.

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Diagram
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Actuators

• Actuators are generally critical items in a
  control loop.
• Complete failure of these actuators cause the
  system or process to shutdown.
• A more common fault is a degraded level of
  performance, which needs a corrective action to
  mitigate the effect.

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SEVA Actuators

• An intelligent self-validating actuator
• Performs to the limit of its capabilities,
• Monitors its own performance and its internal
  parameters,
• Corrects for non-idealities as far as possible,
• Reports the results in a meaningful standard
  manner.

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Process control Valve
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Condition Monitoring

• Modern Control Systems produce large volumes of
  data.
• Multivariate statistics can be used to reduce
  multi-parameter problems to more manageable
  dimensions, with graphical tools used to
  highlight both normal and abnormal modes of
  operation.

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Conclusion

• SEVA Sensors and Actuators are the solutions to
  the non-idealities created by normal sensors and
  actuators.
• They are used in Advanced Control Systems where
  the modes of operation are much complex.
• The errors caused by these Sensors and Actuators
  are very less.

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References

• TURNBULL, G. Editorial, Well CAST, Computing
  and Control Engineering Journal, April
  2002,13,pp.58-59
• HENRY, M.P. Editorial, Special Feature on
  Intelligent and Self validating sensors,
  Computing Control Engineering Journal, October
  2000, 11, pp.211-213.
• HENRY, M.P. Self-Validating digital Coriolis
  mass flow meter, Special Feature on Intelligent
  and Self validating sensors, Computing Control
  Engineering Journal, October 2000, 11, pp.219-227.