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Open image in new window Fig. 5 Sample acceleration profile.
The methods allow the use of a higher acceleration profile, which results in higher productivity.
A tracking control law is then designed to track the reference drag acceleration profile.
The technique used is based on generating discrete-time shaped acceleration profile.
The discrete-time acceleration profile is derived analytically using finite step segments.
Open image in new window Fig. 9 Comparison of peak acceleration profile along depth obtained from experiment and analysis.
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Constant, trapezoidal and cubic acceleration profiles can be selected as a trajectory generation module.
This paper proposed that its Pareto optimal solution set is constructed with constant acceleration profiles.
Figure 6 shows respectively a) the speed and b) the acceleration profiles calculated from their given initial values.
Rhythmically cued acceleration profiles fit the predicted model data significantly closer (P<0.01) than the self-paced profiles.
This paper presents a quintic spline trajectory generation algorithm that produces continuous position, velocity, and acceleration profiles.
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