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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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6.2 Simulation Results 95vibrations at relatively high and low frequency. However, the model does not quantitativelyreproduce the expected large amplitude oscillations on the Roll and Pitch motion.• The value <strong>of</strong> λ max significantly affects the robot angular velocity, the lateral skid velocityand the frequency <strong>of</strong> the vibrations. In particular, the higher λ max is the lower the angularvelocity is (see the error ∆ω z in Figure 6.9(b)), the higher the lateral skid velocity is andthe lower the frequency <strong>of</strong> the vibrations is.By taking into account the last point, we can deduce that the value <strong>of</strong> λ max strictly characterizethe wheel/ground interaction and it might depend on both the ground and tire properties.Furthermore, in order to qualitatively and quantitatively evaluate the model with respect tothe amplitude and the frequency <strong>of</strong> the vibrations, we run the simulation <strong>for</strong> several values <strong>of</strong>ω z between 4 degsand 60 deg . The signals provided by the ¨Accelerometers ¨ block are sam-spled by a ¨Zero-Holder¨ block at 1 kHz and analyzed in the frequency domain by employingthe Matlab functions defined in Appendix A, as it was done <strong>for</strong> the real data acquired fromthe accelerometers (see Section 3.2). Some example graphs <strong>of</strong> the low-pass filtered datawith their FFT are provided in Appendix C. The graphs representing the average <strong>of</strong> the dataamplitudes and the average <strong>of</strong> the three highest peak frequencies with respect to the angularvelocity ω z and different values <strong>of</strong> λ max are also provided in Appendix C.Although it was not possible to carefully characterize the model behavior and the contribution<strong>of</strong> the parameter λ max , there are some features we can extract. In particular, by lookingat the graphs depicted in Appendix C, the main features can be listed as follows:• For λ max = 1, there is only one frequency component which increases when increasingthe robot angular velocity.• For λ max > 1, there are usually two frequency components, respectively at ¨low¨ and¨high¨ frequency.• For λ max= 10 −1 , 10 −2 , the main peak frequency is the at same frequency <strong>for</strong> all thethree accelerometer axes, i.e. a x , a y , a z . Such a peak frequency seems to increase withthe angular velocity up to 20 Hz, <strong>for</strong> relatively low angular velocities (ω z < 20), while itremains almost constant at ¨low¨ frequency <strong>for</strong> relatively high angular velocities (ω z >20).

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