Abstract
The goal of this paper is to better understand how the neuromuscular system of a pilot, or more generally an operator, adapts itself to different types of haptic aids during a pitch control task. A multi-loop pilot model, capable of describing the human behaviour during a tracking task, is presented. Three different identification techniques were investigated in order to simultaneously identify neuromuscular admittance and the visual response of a human pilot. In one of them, the various frequency response functions that build up the pilot model are identified using multi-inputs linear time-invariant models in ARX form. A second method makes use of cross-spectral densities and diagram block algebra to obtain the desired frequency response estimates. The identification techniques were validated using Monte Carlo simulations of a closed-loop control task. Both techniques were compared with the results of another identification method well known in literature and based on cross-spectral density estimates. All those methods were applied in an experimental setup in which pilots performed a pitch control task with different haptic aids. Two different haptic aids for tracking task are presented, a Direct Haptic Aid and an Indirect Haptic Aid. The two haptic aids were compared with a baseline condition in which no haptic force was used. The data obtained with the proposed method provide insight in how the pilot adapts his control behavior in relation to different haptic feedback schemes. From the experimental results it can be concluded that humans adapt their neuromuscular admittance in relation with different haptic aids. Furthermore, the two new identification techniques seemed to give more reliable admittance estimates.
| Original language | English |
|---|---|
| Title of host publication | AIAA Modeling and Simulation Technologies Conference 2012 |
| DOIs | |
| Publication status | Published - 2012 Dec 1 |
| Event | AIAA Modeling and Simulation Technologies Conference 2012 - Minneapolis, MN, United States Duration: 2012 Aug 13 → 2012 Aug 16 |
Other
| Other | AIAA Modeling and Simulation Technologies Conference 2012 |
|---|---|
| Country | United States |
| City | Minneapolis, MN |
| Period | 12/8/13 → 12/8/16 |
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ASJC Scopus subject areas
- Aerospace Engineering
- Modelling and Simulation
Cite this
Multi-loop pilot behaviour identification in response to simultaneous visual and haptic stimuli. / Olivari, Mario; Nieuwenhuizen, Frank M.; Venrooij, Joost; Bulthoff, Heinrich; Pollini, Lorenzo.
AIAA Modeling and Simulation Technologies Conference 2012. 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Multi-loop pilot behaviour identification in response to simultaneous visual and haptic stimuli
AU - Olivari, Mario
AU - Nieuwenhuizen, Frank M.
AU - Venrooij, Joost
AU - Bulthoff, Heinrich
AU - Pollini, Lorenzo
PY - 2012/12/1
Y1 - 2012/12/1
N2 - The goal of this paper is to better understand how the neuromuscular system of a pilot, or more generally an operator, adapts itself to different types of haptic aids during a pitch control task. A multi-loop pilot model, capable of describing the human behaviour during a tracking task, is presented. Three different identification techniques were investigated in order to simultaneously identify neuromuscular admittance and the visual response of a human pilot. In one of them, the various frequency response functions that build up the pilot model are identified using multi-inputs linear time-invariant models in ARX form. A second method makes use of cross-spectral densities and diagram block algebra to obtain the desired frequency response estimates. The identification techniques were validated using Monte Carlo simulations of a closed-loop control task. Both techniques were compared with the results of another identification method well known in literature and based on cross-spectral density estimates. All those methods were applied in an experimental setup in which pilots performed a pitch control task with different haptic aids. Two different haptic aids for tracking task are presented, a Direct Haptic Aid and an Indirect Haptic Aid. The two haptic aids were compared with a baseline condition in which no haptic force was used. The data obtained with the proposed method provide insight in how the pilot adapts his control behavior in relation to different haptic feedback schemes. From the experimental results it can be concluded that humans adapt their neuromuscular admittance in relation with different haptic aids. Furthermore, the two new identification techniques seemed to give more reliable admittance estimates.
AB - The goal of this paper is to better understand how the neuromuscular system of a pilot, or more generally an operator, adapts itself to different types of haptic aids during a pitch control task. A multi-loop pilot model, capable of describing the human behaviour during a tracking task, is presented. Three different identification techniques were investigated in order to simultaneously identify neuromuscular admittance and the visual response of a human pilot. In one of them, the various frequency response functions that build up the pilot model are identified using multi-inputs linear time-invariant models in ARX form. A second method makes use of cross-spectral densities and diagram block algebra to obtain the desired frequency response estimates. The identification techniques were validated using Monte Carlo simulations of a closed-loop control task. Both techniques were compared with the results of another identification method well known in literature and based on cross-spectral density estimates. All those methods were applied in an experimental setup in which pilots performed a pitch control task with different haptic aids. Two different haptic aids for tracking task are presented, a Direct Haptic Aid and an Indirect Haptic Aid. The two haptic aids were compared with a baseline condition in which no haptic force was used. The data obtained with the proposed method provide insight in how the pilot adapts his control behavior in relation to different haptic feedback schemes. From the experimental results it can be concluded that humans adapt their neuromuscular admittance in relation with different haptic aids. Furthermore, the two new identification techniques seemed to give more reliable admittance estimates.
UR - http://www.scopus.com/inward/record.url?scp=84880607066&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880607066&partnerID=8YFLogxK
U2 - 10.2514/6.2012-4795
DO - 10.2514/6.2012-4795
M3 - Conference contribution
AN - SCOPUS:84880607066
SN - 9781624101830
BT - AIAA Modeling and Simulation Technologies Conference 2012
ER -