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

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LIST OF FIGURESVIII6.21 Amplitude <strong>of</strong> the data without the aluminum frame on: (a) Concrete; (b)Carpet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1176.22 Low-pass filtered data from accelerometers and their FFT with the accelerometerson a wheel on concrete <strong>for</strong>: (a) ω ∗ z= 2 degs ; (b) ω∗ z= 10 degs ; (c)ω ∗ z = 18 degs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1186.23 Low-pass filtered data from accelerometers and their FFT with the accelerometerson a wheel on carpet <strong>for</strong>: (a) ω ∗ z = 2 degs ; (b) ω∗ z = 10 degs ; (c) ω∗ z = 18 degs . 1196.24 Peak frequencies with the accelerometers on a wheel on: (a) Concrete; (b)Carpet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1206.25 Simulation results from accelerometers and their FFT with λ max = 1 <strong>for</strong>: (a)ω ∗ z = 10 degs ; (b) ω∗ z = 30 degs ; (c) ω∗ z = 60 degs . . . . . . . . . . . . . . . . . . 1226.26 Simulation results from accelerometers and their FFT with λ max = 10 −1 <strong>for</strong>:(a) ω ∗ z = 10 degs ; (b) ω∗ z = 30 degs ; (c) ω∗ z = 60 degs . . . . . . . . . . . . . . . . 1236.27 Simulation results from accelerometers and their FFT with λ max = 10 −2 <strong>for</strong>:(a) ω ∗ z = 10 degs ; (b) ω∗ z = 30 degs ; (c) ω∗ z = 60 degs . . . . . . . . . . . . . . . . 1246.28 Simulation results from accelerometers and their FFT with λ max = 10 −3 <strong>for</strong>:(a) ω ∗ z = 10 degs ; (b) ω∗ z = 30 degs ; (c) ω∗ z = 60 degs . . . . . . . . . . . . . . . . 1256.29 Simulation results from accelerometers and their FFT with λ max = 10 −4 <strong>for</strong>:(a) ω ∗ z = 10 degs ; (b) ω∗ z = 30 degs ; (c) ω∗ z = 60 degs . . . . . . . . . . . . . . . . 1266.30 Peak frequencies <strong>of</strong> simulation results with λ max = 1 <strong>for</strong>: (a) a x ; (b) a y ; (c) a z . 1276.31 Peak frequencies <strong>of</strong> simulation results with λ max = 10 −1 <strong>for</strong>: (a) a x ; (b) a y ;(c) a z . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1286.32 Peak frequencies <strong>of</strong> simulation results with λ max = 10 −2 <strong>for</strong>: (a) a x ; (b) a y ;(c) a z . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1296.33 Peak frequencies <strong>of</strong> simulation results with λ max = 10 −3 <strong>for</strong>: (a) a x ; (b) a y ;(c) a z . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1306.34 Peak frequencies <strong>of</strong> simulation results with λ max = 10 −4 <strong>for</strong>: (a) a x ; (b) a y ;(c) a z . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1316.35 Amplitude <strong>of</strong> the simulation results with: (a) λ max = 1; (b) λ max = 10 −1 ; (c)λ max = 10 −2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1326.36 Amplitude <strong>of</strong> the simulation results with: (a) λ max = 10 −3 ; (b) λ max = 10 −4 . . 133

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