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•Find optimal control inputs for exosuit actuators.
•Evaluate the effectiveness of Biarticular actuator

Strategy

Experimental data

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For both data, walking speed is identical, and loaded weight was 38kg.

•Data type
–Marker position data
–Ground reaction force data
•Subject
–mass: 61.3kg
–Sex: male

 

Modeling

  • How to model a subject wearing active actuator


    Add explanation here
  • The diagram 
  • Sample models

Loaded gait model

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Add explanation here

Unloaded gait model

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Optimization process

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Loaded walkingUnloaded walking
Widget Connector
urlhttp://www.youtube.com/watch?v=BeAE24HNzm8&feature=youtu.be
Widget Connector
urlhttp://www.youtube.com/watch?v=ek5VLPEK9oU&feature=youtu.be

Loaded walking

•Rate of MC reduction
1.Ankle actuator: 10.35%
2.Hip actuator: 6.62%
Unloaded walking
•Rate MC reduction
1.Ankle actuator: 10.62%
2.Hip actuator: 1.04%

I put together the metabolic cost changes in loaded gait case and unloaded walking case

The first thing to notice is that the metabolic cost is much lower during unloaded walking than loaded walking. Loaded walking costs only 75% metabolic energy compared to loaded walking. Also, we can see that ankle actuator works better to reduce metabolic cost than hip actuator, especially in loaded walking case.

In loaded walking case, ankle actuator reduces metabolic cost by 10%, while hip actuator reduces it by about 7%.

On the other hand, in unloaded walking case, ankle actuator reduces metabolic cost by 10%, while hip actuator reduces it by 1%.

 

Therefore,  we can say that ankle actuator helps metabolic cost reduction better than hip actuator if we have an optimal actuator which has no maximum force limitation.

 

 

 

 

 

Optimal actuator input

 Loaded walkingUnloaded walking
Ankle actuator
Hip actuator
Ankle actuator
•Ankle actuator assists uni-articular muscles during loaded walking.
•To make the best control input for ankle actuator, actuation should be started right after the toe-off of a foot on the opposite side, and the peak force occurs 7.12% of gait cycle before toe off, and ends at the toe-off of a foot on the same side.
Hip actuator

In hip actuator case, the optimal input force is very complex, and I could not find any intuition from it. My initial guess on the optimal input force of hip actuator was to follow the hip flexion angle change, but the result doesn’t follow it at all. The complexity may be due to the optimization procedure in CMC, and I will try to figure out the reason in a future. However, the good thing about hip actuator is that it doesn’t require large amount of force to reduce the metabolic cost. The maximum force in this optimal input is about 400N, which is significantly lower than ankle actuator input, and it is achievable.

•Hip actuator can reduce the metabolic cost with lower maximum force than ankle actuator.
•Challenges
–Hard to identify how the actuator assists walking.
–Difficult to implement the optimal control input for hip actuator in real world

 Unloaded walking

This is the optimal input force result in unloaded case. Still, you can see that ankle actuator input profile is clean and goes well with our intuition, but hip actuator input profile isn’t. 

 

Analysis of optimal input force for ankle actuator

This result shows how muscle force changes when a model has ankle actuators. The graphs show plantar flexor muscle forces, and first row is muscle forces of a baseline model, and the second row is the muscle forces of a model with ankle actuator.

 

The red line is The muscle forces of gastrocnemius, and it barely change when ankle actuators are added. However, other muscle forces, which are from uniarticular muscles, are significantly decreased. Therefore, we can say that ankle actuator assists uniarticular muscles during loaded walking

 

If we draw the sum of baseline uniarticular forces and active actuator input force together, we can see that the active actuator force follows baseline uniarticular muscle forces. The redline here is sum of baseline uniarticular forces and blue line is active actuator input force. This force signal is clear and easy to implement real world. However, the maximum actuation force is about 2500 N, which is too high, so we need to deal with it if we want to use this profile.

Best realistic actuation input force for ankle actuator

Biarticular actuator

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Loaded walkingUnloaded walking
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ModelBiarticular actuator

Simulation result

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Conclusion

Featured result

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You can find the model that I used in htt~~~~

References