Advanced Strategies For Robot Manipulators Part 3 pdf
... λ 3 $ 3 ] = λ 2 [$ 1 $ 2 ] + λ 3 [$ 1 $ 3 ] [ λ $ 1 + λ 2 $ 2 $ 3 ] = λ 1 [$ 1 $ 3 ] + λ 2 [$ 2 $ 3 ] 4. Jacobi identity, [$ 1 [$ 2 $ 3 ]] + [$ 3 [$ 1 $ 2 ]] + [$ 2 [$ 3 ... (2010). 3D Control for a Tronconic Tentacle, 12 th International Conference on Computer Modelling and Simulation, p380 -38 6, ISBN 978-0-7695-4016-0, Advanced Strat...
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... that involve the flexible nature of both links and joints. 11 12 13 14 1 1 1 3 1 22 23 24 2 2 2 4 2 33 34 3 1 44 4 2 1 131 3 224 4 000 000 0 0000 0 0000 0 00 00 mmmm h k mmm h k mm h e Sym m ... 2 2.5 0.5 1 1.5 2 2.5 3 x(m) y(m) Robot Configuration Fig. 10. Robot Configuration Advanced Strategies for Robot Manipulators 18 where the final bound of control...
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... Guidance, Vol. 10, No. 4, pp. 33 8 34 2, 1987. Advanced Strategies for Robot Manipulators 22 -1 -0.5 0 0.5 1 1.5 2 2.5 0.5 1 1.5 2 2.5 3 x(m) y(m) case 1 case 2 case 3 case 4 Fig. 15. End ... Optimization of Flexible Mobile Manipulators, Robotica, Vol. 24, No. 3, pp. 33 3 -33 5 Green A. & Sasiadek J.Z. (2004). Dynamics and Trajectory Tracking Control of a...
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Advanced Strategies For Robot Manipulators Part 5 potx
... provide for seven revolute joints for Σj i = 7 ∗ 1 = 7 and two closed loops for n = 2. The resulting mobility: m = 7 − 3 ∗ 2 = 1 which is verified by experiments. Advanced Strategies for Robot Manipulators ... actuator constructed with n rhombuses: 2 234 22 2 22 3 2 11 =2 1 4 4 ax vxn r nr n r x nr α −− − ⎛⎞ −− ⎜⎟ ⎝⎠ − ( 53) Advanced Strategies for Robot...
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Advanced Strategies For Robot Manipulators Part 6 docx
... zz dz zd z ˆ )( )( = ≡ ′ σ σ (85) From ( 83) and (84), we have: Advanced Strategies for Robot Manipulators 164 3. 2 0 0.8 0 , 03. 5 00.7 vf f NN ⎡ ⎤⎡ ⎤ == ⎢ ⎥⎢ ⎥ ⎣ ⎦⎣ ⎦ (1 13) Simulation 1─ In this case, ... enlarged graphs have been provided in Fig. 7 and 8. Advanced Strategies for Robot Manipulators 154 0 0.5 1 1.5 2 2.5 3 3.5 4 -4 -3 -2 -1 0 1 2...
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Advanced Strategies For Robot Manipulators Part 7 pptx
... Stewart Platform with Pro/E. 10th IEEE International Conference on Computer-Aided Design and Computer Graphics. pp. 533 - 536 . Advanced Strategies for Robot Manipulators 198 sensors for measuring ... manipulator. The transformation for the mobile platform´s centroid to the base, is described by the position vector x and the rotation matrix B R A , where, 11 12 13...
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Advanced Strategies For Robot Manipulators Part 8 doc
... Advanced Strategies for Robot Manipulators 228 Therefore, from LaSalle’s Invariance Principle we conclude that the equilibrium point ⎡⎤⎡ ⎤ ∈ ⎣⎦⎣ ⎦ R 2 1 =()0 TT TT TT n qq hx of (35 ) ... )), nl f tF t σ − ( 63) where F is the nonlinear controller gain; and sgn(·) the signum function. Therefore, the control input f (t) is given by Advanced Strategies for Robot...
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Advanced Strategies For Robot Manipulators Part 9 potx
... set–point controller with bounded torques for robot manipulators, IEEE Transactions on Industrial Electronics, Vol. 45, pp. 126– 133 . Advanced Strategies for Robot Manipulators 240 0246810 − π/2 − ... Systems, 1995, 2 :31 1 -31 6. Advanced Strategies for Robot Manipulators 232 Consider (29) with q = h 1 (x): = ( ) ( ) ( ( )), pdd xKhx gq gq hx...
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Advanced Strategies For Robot Manipulators Part 10 docx
... Specifically, each element of M( q), M ij is as follows: 11 1 2 3 4 3 4 12 21 22 2 3 4 3 4 13 23 31 32 3 4 3 4 14 24 41 42 4 3 4 33 3 4 34 43 44 4 2cos( ) 2cos( ) cos( ) cos( ) Mmmmm R qq M MMmmmRqq M MMMmmRqq MMMMmRqq Mmm MMMm =++++ ... even for robot arms of many Degrees of Advanced Strategies for Robot Manipulators 284 0 1 2 3 4 5 6 7 8...
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Advanced Strategies For Robot Manipulators Part 11 doc
... Configurations 30 3 Network Configuration 4 - 12 7 - 12 θ Joint 1 ω 7.898% 8.67% 2.27% 1.8% θ Joint 2 ω 12. 432 % 39 .75% 0.907% 2.1 83% θ Joint 3 ω 2.607% 5. 03% 1. 033 % 1.775% θ ... training contain meaningful information whereas before training they are random and have no meaning (Kalogirou, 2001). Advanced Strategies for Robot Manipulators...
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