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Advance Modeling of a Skid-Steering Mobile Robot for Remote ...

Advance Modeling of a Skid-Steering Mobile Robot for Remote ...

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3.3 Characterization <strong>of</strong> the Tire Forces 49<strong>of</strong> the tire stretching is much slower than the releasing, the periodic motion results in a sort<strong>of</strong> saw-tooth wave as shown from the graphs.Furthermore, from the graphs depicted in Figure 3.6 we can also extract the tire elasticitycoefficient by calculating the slope <strong>of</strong> the ramps <strong>of</strong> the saw-tooth shape. In particular, theslope varies from 4 kN mto 6 kN , there<strong>for</strong>e the measured elasticity coefficient can be estimatedmas K measured = 5 kN . However, such a value <strong>of</strong> K m measured is not reliable as the rope is extensibleso that the <strong>for</strong>ce sensor is also measuring the rope elastic <strong>for</strong>ce and there<strong>for</strong>e the previouslycalculated coefficient includes the rope coefficient too. We can consider our system composedby the robot and the rope as two springs connected in series, so that the elasticitycoefficient the sensor perceives is given by the <strong>for</strong>mula:K measured =K cableK tireK cable + K tire(3.9)Thereby, when K cable is comparable or smaller than K tire , K measured is completely differentfrom K tire and can even be almost equal to K cable .To overcome this problem, the rope was replaced with a steel cable which is not extensible.The <strong>for</strong>ce was then measured again <strong>for</strong> a single wheel touching the ground and also with nowheel touching (Figure 3.3(b)), in order to check whether or not the saw-tooth behavior wasdue only to the rope elasticity. Moreover, the <strong>for</strong>ce was measured by pulling only the robotplat<strong>for</strong>m with and without the aluminum frame to check if the weight or the inertia affect themeasurements. Figure 3.7 shows the two cases with one and zero wheel touching.By looking at Figure 3.7, it is easy to notice that, in both cases (with and without thealuminum frame), the saw-tooth shape is not present when all the four wheels are on theplastic pads with some oil underneath, meaning that such a behavior is not due to the ropeelasticity or the robot inertia but only to the tire-spring dynamics. We can also see howthe saw-tooth shape is more regular in these graphs than the ones in Figure 3.5, 3.6, thanksto the high elasticity <strong>of</strong> the cable. Moreover, as in this case K cable≫ K tire and only onewheel is touching the ground, the value <strong>of</strong> K measured defined in (3.9) is almost equal to K tire .In particular, the slope <strong>of</strong> the little ramps varies in the interval 20 − 25 kN mso that we canestimate the tire elasticity coefficient as K tire = 22.5 kN . mAlthough the data presented above clearly show the tire-spring behavior from a qualitativepoint <strong>of</strong> view, they do not provide reliable values <strong>for</strong> the identification <strong>of</strong> the tire elasticitycoefficient. In fact, the measured <strong>for</strong>ce is somehow affected also from the other tire <strong>for</strong>ces,

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