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8 -6 Robotics and Automation Handbook Axis Number Twist angle a i Link length a i Link offset d i Joint angle q i 1 2 n a 1 a 2 a n a 1 a 2 a n d 1 d 2 d n q 1 q 2 q n D-H Parameters Table Z 1 q 3 Y 2 Z 2 X 2 Y 1 q 2 Y 0 q 1 X 0 Z 0 X 1 a 2 d 1 a 2 Determine a i Z 1 Z 0 q 3 Y 2 Z 2 X 2 Y 1 q 2 Y 0 q 1 X 0 X 1 a 2 d 1 Determine d i and a i FIGURE 8.4 (Continued). 8.3 Algorithm for Determining the Homogenous Transformation Matrix, A ◦ n After determining the D-H parameters, the next step is to derive the homogeneous transformation matrix from one frame to the next. We will denote the U i (θ i ) matrix as the rotation matrix about the Z i−1 axis while the V i (α i ) matrix as the rotation matrix denoting the rotation about the X i axis. To perform coordinate transformation from reference frame {F i } to reference frame {F i−1 },weneedtoderivethe rotation matrix and the displacement vector. The rotation matrix from {F i } to {F i−1 } is given by R i−1 i = U i V i (8.14) Copyright © 2005 by CRC Press LLC D-H Convention 8 -7 where U i (θ i )isgivenby U i (θ i ) =    cos(θ i ) −sin(θ i )0 sin(θ i ) cos(θ i )0 001    (8.15) and V i (α i )isgivenby V i ( α i ) =    10 0 0 cos(α i ) −sin(α i ) 0 sin(α i ) cos(α i )    (8.16) The homogeneous transformation matrix transforming coordinates from {F i } to {F i−1 } is given by A i−1 i = A i−1 i  A i  i (8.17) where A i  i is the screw displacement about the axis x i through an angle α i and distance a i . Similarly, A i−1 i  is the screw displacement about the axis z i through an angle θ i and distance d i . The expression for A i−1 i  and A i  i is given by A i−1 i  =      0 U i 3×3 0 d i 000 1      (8.18) A i  i =      a i V i 3×3 0 0 000 1      (8.19) Consequently, A i−1 i =      0 U i 0 d i 000 1           a i V i 0 0 000 1      =  U i V i U i s i 01  (8.20) Expanding the various terms in Equation (8.20) we get U i V i =    cθ i −sθ i 0 sθ i cθ i 0 001       10 0 0 cα i −sα i 0 s α i +cα i    =    cθ i −sθ i cα i sθ i sα i sθ i cθ i cα i −cθ i sα i 0 sα i +cα i    U i s i =    cθ i −sθ i 0 sθ i cθ i 0 001       a i 0 0    +    0 0 d i    =    cθ i a i sθ i a i d i    (8.21) where s i =    a i 0 d i    (8.22) Copyright © 2005 by CRC Press LLC 8 -8 Robotics and Automation Handbook o 0 o n o 1 d 0 n A 0 n o 2 o n−1 FIGURE 8.5 Transformation from the endeffector frame to the base frame. Performing the composition from the nth frame to the base frame (see Figure 8.5), we get A 0 n = A 0 1 A 1 2 A n−1 n =  R 0 n d 0 n 01  (8.23) Based on Equations (8.20) and (8.23) we can write R 0 n = (U 1 V 1 )(U 2 V 2 ) ···(U n V n ) (8.24) and d 0 n = U 1 s 1 +U 1 V 1 U 2 s 2 +U 1 V 1 U 2 V 2 U 3 s 3 + U 1 V 1 U 2 V 2 U n−1 V n−1 U n s n (8.25) 8.4 Examples Example 8.1 Figure 8.6 is an example of a robotic arm manipulator with five joints. In this manipulator, three joints are rotational and two joints are prismatic. Thus, the robot has five degrees of freedom. No. Twist Angle α i Link Length a i Joint Offset d i Joint Angle θ i 1 (0−1) 000θ Va ri a bl e 1 2 (1−2) π/20d Va ri a bl e 2 0 3 (2−3) π/20 0θ Va ri a bl e 3 4 (3−4) 00d Va ri a bl e 4 0 5 (4−5) 000θ Va ri a bl e 5 The first step in determining the D-H parameters is to locate the joints of the robot arm manipulator and determine if the joint is prismatic or revolute. For the five-degrees-of-freedom manipulator, starting from the base joint, joints 1, 3, and 5 are revolute joints, while joints 2 and 4 are prismatic joints. Because Copyright © 2005 by CRC Press LLC 8 -10 Robotics and Automation Handbook expression in Equation (8.24) and Equation (8.25) we get R 0 5 = (U 1 V 1 )(U 2 V 2 )(U 3 V 3 )(U 4 V 4 )(U 5 V 5 ) (8.26) d 0 5 =U 1 s 1 + (U 1 V 1 )U 2 s 2 + (U 1 V 1 )(U 2 V 2 )U 3 s 3 + (U 1 V 1 )(U 2 V 2 )(U 3 V 3 )U 4 s 4 +(U 1 V 1 )(U 2 V 2 )(U 3 V 3 )(U 4 V 4 )U 5 s 5 (8.27) The following matrices are the individual U and V matrices for each axis of the manipulator. U 1 =    cos(θ 1 ) −sin(θ 1 )0 sin(θ 1 ) cos(θ 1 )0 001    , V 1 =    100 010 001    U 2 =    100 010 000    , V 2 =    10 0 00−1 01 0    U 3 =    cos(θ 3 ) −sin(θ 3 )0 sin(θ 3 ) cos(θ 3 )0 001    , V 3 =    10 0 00−1 01 0    U 4 =    100 010 001    , V 4 =    100 010 001    U 5 =    cos(θ 5 ) −sin(θ 5 )0 sin(θ 5 ) cos(θ 5 )0 001    , V 5 =    100 010 001    Similarly the s i vector is given by s 1 =    0 0 0    , s 2 =    0 0 d 2    , s 3 =    0 0 0    , s 4 =    0 0 d 4    , s 5 =    0 0 0    Substituting the above U i , V i , and s i into Equation (8.26) and Equation (8.27) we get R 0 5 =    C 1 C 3 C 5 + S 1 S 5 −C 1 C 3 S 5 + S 1 C 5 C 1 S 3 S 1 C 3 C 5 −C 1 S 5 −S 1 C 3 S 5 −C 1 C 5 S 1 S 3 S 3 C 5 −S 3 S 5 −C 3    (8.28) d 0 5 =    C 1 S 3 d 4 S 1 S 3 d 4 d 2 −C 3 d 4    (8.29) where C a = cos(a) and S a = sin(a). The final transformation matrix is thus given by A 0 5 =      C 1 C 3 C 5 + S 1 S 5 −C 1 C 3 S 5 + S 1 C 5 C 1 S 3 C 1 S 3 d 4 S 1 C 3 C 5 −C 1 S 5 −S 1 C 3 S 5 −C 1 C 5 S 1 S 3 S 1 S 3 d 4 S 3 C 5 −S 3 S 5 −C 3 d 2 −C 3 d 4 0001      (8.30) Copyright © 2005 by CRC Press LLC D-H Convention 8 -11 TABLE 8.1 D-H Parameters for the SCARA No. Twist Angle α i Link Length a i Link Offset d i Joint Angle θ i 1 (0−1) 0 a 1 d 1 θ Va ri a bl e 1 2 (1−2) π a 2 0 θ Va ri a bl e 2 3 (2−3) 00d Va ri a bl e 3 0 4 (3−4) 00d 4 θ Va ri a bl e 4 Example 8.2: The SCARA Robot The SCARA robot is a four axis robot arm manipulator with three revolute joints and one prismatic joint (see Figure 8.7 and Table 8.1). The name SCARA is an acronym for selective compliance assembly robot arm. The first step in determining D-H parameters for the SCARA is to locate the joints and determine the rotation or translation of each joint. The SCARA has four joints with three of them being revolute joints and one prismatic joint. Each of the revolute joints, 1, 2, and 4, have a θ value of θ variable i with i being the joint number. The prismatic joint (joint 3) has a θ valueofzeroandad value of d variable 3 . Starting from the base, the joint coordinate frames are assigned based on the algorithm outlined before. Having established the coordinate frames, the next step is the determination of the D-H parameters. We b eg in by first determining α i . α i is the rotation about X i to make Z i−1 parallel with Z i (starting from Z i−1 ). Starting with axis 1, the rotation about X 1 to make Z 0 parallel to Z 1 is 0 because they are parallel. For axis 2, the α is π or 180 ◦ because Z 2 is pointing down along the translation of the prismatic joint. α 3 and α 4 are zero because Z 3 and Z 4 are parallel with Z 2 and Z 3 , respectively. The next step is to determine a i and d i . a i is the link length and always points away from the Z i−1 axis. d i is the offset and is always along the Z i−1 axis. For axis 1, there is an offset between axes 1 and 2 in the BASE PRISMATIC JOINT d 1 X 1 X 2 X 3 X 4 X 0 Y 1 Y 2 Y 3 Y 4 Y 0 Z 2 Z 3 Z 1 Z 4 Z 0 a 1 a 2 q 2 q 1 q 4 d 4 d 3 FIGURE 8.7 Schematic of the SCARA robot with the appropriate coordinate frames. Copyright © 2005 by CRC Press LLC 8 -12 Robotics and Automation Handbook Z 0 direction so the offset is equal to d 1 . There is also a distance between the axes, which is equal to a 1 .For axis 2, there is a distance between axes 2 and 3 away from the Z 1 axis equal to a 2 . d 2 is equal to zero. Axis 3 is a prismatic joint, so d is variable, i.e., d Variable 3 . Between axes 3 and 4, there is an offset only in the Z direction, so d 4 is equal to this distance. a 3 and a 4 are both zero. Having determined all the D-H parameters, the transformation matrix A 0 4 can now be computed. The transformation matrix consists of the rotation matrix R 0 4 and the displacement vector d 0 4 . Using the expression in Equation (8.24) and Equation (8.25) we get R 0 4 = (U 1 V 1 )(U 2 V 2 )(U 3 V 3 )(U 4 V 4 ) (8.31) d 0 4 = U 1 s 1 + (U 1 V 1 )U 2 s 2 + (U 1 V 1 )(U 2 V 2 )U 3 s 3 + (U 1 V 1 )(U 2 V 2 )(U 3 V 3 )U 4 s 4 (8.32) The following matrices are the individual U and V matrices for each axis of the manipulator. U 1 =    cos(θ 1 ) −sin(θ 1 )0 sin(θ 1 ) cos(θ 1 )0 001    , V 1 =    100 010 001    U 2 =    cos(θ 2 ) −sin(θ 2 )0 sin(θ 2 ) cos(θ 2 )0 001    , V 2 =    100 0 −10 00−1    U 3 =    100 010 001    , V 3 =    100 010 001    U 4 =    cos(θ 4 ) −sin(θ 4 )0 sin(θ 4 ) cos(θ 4 )0 001    , V 4 =    100 010 001    Similarly the s i vector is given by s 1 =    a 1 0 d 1    , s 2 =    a 2 0 0    , s 3 =    0 0 d 3    , s 4 =    0 0 d 4    Substituting the above U i , V i , and s i into Equation (8.31) and Equation (8.32) we get R 0 4 =    C 12 C 4 + S 12 S 4 −C 12 S 4 + S 12 C 4 0 S 12 C 4 −C 12 S 4 −S 12 S 4 −C 12 C 4 0 00−1    (8.33) d 0 4 =    C 1 a 1 +C 12 a 2 S 1 a 1 + S 12 a 2 d 1 − d 3 − d 4    (8.34) where C a = cos(a), S a = sin(a), C ab = cos(a +b) and S ab = sin(a + b). The final transformation matrix is A 0 4 =      C 12 C 4 + S 12 S 4 −C 12 S 4 + S 12 C 4 0 C 1 a 1 +C 12 a 2 S 12 C 4 −C 12 S 4 −S 12 S 4 −C 12 C 4 0 S 1 a 1 + S 12 a 2 00−1 d 1 − d 3 − d 4 0001      (8.35) Copyright © 2005 by CRC Press LLC D-H Convention 8 -13 Z 1 d 2 d 1 d 3 d 6 X 5 X 6 Z 1 Z 5 Z 6 Z 3 Z 4 X 2 X 0 Y 4 Y 3 Y 1 Y 0 X 4 Y 2 Y 6 Y 5 q 5 q 6 q 4 q 2 q 1 Z 0 BASE PRISMATIC JOINT X 3 Z 2 X 1 FIGURE 8.8 Schematic of the Stanford arm. Example 8.3: The Stanford Arm Designed in 1969 by Victor Scheinman, the Stanford arm was one of the first robots exclusively designed for computer control. 1 The Stanford arm is a 6-axis robot manipulator with five revolute joints and one prismatic joint, giving it six degrees of freedom The first step in determining the D-H parameters for the Stanford arm is to locate the joints and determine if the joint is prismatic or revolute (Table 8.2). Starting from the base joint, joints 1, 2, 4, 5, and 6 are all revolute joints. The θ i values are θ Variable 1 , θ Variable 2 , θ Variable 4 , θ Variable 5 , and θ Variable 6 , respectively. Since there is no rotation about prismatic joints, θ 3 is equal to zero but d 3 is equal to d Variable 3 . Starting from the base, the joint coordinate frames are assigned based on the algorithm outlined before. Having established the coordinate frames, the next step is to determine the D-H parameters. We begin by first determining α i . α i is the rotation about X i to make Z i−1 parallel with Z i . For axis 1, the rotation required about X 1 to take Z 0 parallel to Z 1 is −90 ◦ or −π/2. Similarly α 2 and α 5 are equal to 90 ◦ or π/2. For axes 3 and 6, Z i−1 and Z i are parallel, so α 3 and α 6 are equal to zero. 1 http://www-db.stanford.edu/pub/voy/museum/pictures/display/1-Robot.htm Copyright © 2005 by CRC Press LLC D-H Convention 8 -15 Substituting the above U i , V i , and s i into Equation (8.36) and Equation (8.37), we get the following, where C i = cos(i) and S i = sin(i): R 0 6 =    r 11 r 12 r 13 r 21 r 22 r 23 r 31 r 32 r 33    (8.38) r 11 = ((C 1 C 2 C 4 − S 1 S 4 )C 5 −C 1 S 2 S 5 )C 6 + (−C 1 C 2 S 4 − S 1 C 4 )S 6 r 12 =−((C 1 C 2 C 4 − S 1 S 4 )C 5 −C 1 S 2 S 5 )S 6 + (−C 1 C 2 S 4 − S 1 C 4 )C 6 r 13 = (C 1 C 2 C 4 − S 1 S 4 )S 5 +C 1 S 2 C 5 r 21 = ((S 1 C 2 C 4 +C 1 S 4 )C 5 − S 1 S 2 S 5 )C 6 + (−S 1 C 2 S 4 +C 1 C 4 )S 6 r 22 =−((S 1 C 2 C 4 +C 1 S 4 )C 5 − S 1 S 2 S 5 )S 6 + (−S 1 C 2 S 4 +C 1 C 4 )C 6 r 23 = (S 1 C 2 C 4 +C 1 S 4 )S 5 + S 1 S 2 C 5 r 31 = (−S 2 C 4 C 5 −C 2 S 5 )C 6 + S 2 S 4 S 6 r 32 =−(−S 2 C 4 C 5 −C 2 S 5 )S 6 + S 2 S 4 C 6 r 33 =−S 2 C 4 S 5 +C 2 C 5 d 0 6 =    d 11 d 21 d 31    (8.39) d 11 =−S 1 d 2 +C 1 S 2 d 3 + ((C 1 C 2 C 4 − S 1 S 4 )S 5 +C 1 S 2 C 5 )d 6 d 21 =C 1 d 2 + S 1 S 2 d 3 + ((S 1 C 2 C 4 +C 1 S 4 )S 5 + S 1 S 2 C 5 )d 6 d 31 = d 1 +C 2 d 3 + (−S 2 C 4 S 5 +C 2 C 5 )d 6 The final transformation matrix is A 0 6 =  R 0 6 d 0 6 000 1  (8.40) Example 8.4: The Mitsubishi PA-10 Robot Arm The Mitsubishi PA-10 robot arm is a 7-joint robot manipulator. All seven of the joints are revolute, and thus the manipulator has seven degrees of freedom. The first step in determining the D-H parameters of the Mitsubishi PA-10 robot arm is to locate each joint and determine whether it is rotational or prismatic (Table 8.3 and Figure 8.9). As seen in Figure 8.9, all the joints are rotational joints. Because all the joints are rotational the θ i values are variable. Starting from the base, the joint coordinate frames are assigned based on the algorithm outlined before. TABLE 8.3 D-H Parameters of the Mitsubishi PA-10 Robot Arm No. Twist Angle α i Link Length a i Joint Offset d i Joint Angle θ i 1 (0−1) −π/2 0 0 θ Va ri a bl e 1 2 (1−2) −π/2 0 0 θ Va ri a bl e 2 3 (2−3) π/20 d 3 θ Va ri a bl e 3 4 (3−4) π/20 0θ Va ri a bl e 4 5 (4−5) π/20 d 5 θ Va ri a bl e 5 6 (5−6) −π/2 0 0 θ Va ri a bl e 6 7 (6−7) 00d 7 θ Va ri a bl e 7 Copyright © 2005 by CRC Press LLC D-H Convention 8 -17 The following matrices are the individual U and V matrices for each axis of the manipulator. U 1 =    cos(θ 1 ) −sin(θ 1 )0 sin(θ 1 ) cos(θ 1 )0 001    , V 1 =    100 001 0 −10    U 2 =    cos(θ 2 ) −sin(θ 2 )0 sin(θ 2 ) cos(θ 2 )0 001    , V 2 =    100 001 0 −10    U 3 =    cos(θ 3 ) −sin(θ 3 )0 sin(θ 3 ) cos(θ 3 )0 001    , V 3 =    10 0 00−1 01 0    U 4 =    cos(θ 4 ) −sin(θ 4 )0 sin(θ 4 ) cos(θ 4 )0 001    , V 4 =    10 0 00−1 01 0    U 5 =    cos(θ 5 ) −sin(θ 5 )0 sin(θ 5 ) cos(θ 5 )0 001    , V 5 =    10 0 00−1 01 0    U 6 =    cos(θ 6 ) −sin(θ 6 )0 sin(θ 6 ) cos(θ 6 )0 001    , V 6 =    100 001 0 −10    U 7 =    cos(θ 7 ) −sin(θ 7 )0 sin(θ 7 ) cos(θ 7 )0 001    , V 7 =    100 010 001    Similarly the s i vector is given by s 1 =    0 0 0    , s 2 =    0 0 0    , s 3 =    0 0 d 3    , s 4 =    0 0 0    , s 5 =    0 0 d 5    , s 6 =    0 0 0    , s 7 =    0 0 d 7    Substituting the above U i , V i , and s i into Equation (8.41) and Equation (8.42) we get the following, where C i = cos(i) and S i = sin(i): R 0 7 =    r 11 r 12 r 13 r 21 r 22 r 23 r 31 r 32 r 33    (8.43) r 11 = ((((C 1 C 2 C 3 + S 1 S 3 )C 4 −C 1 S 2 S 4 )C 5 + (C 1 C 2 S 3 − S 1 C 3 )S 5 )C 6 + ((C 1 C 2 C 3 + S 1 S 3 )S 4 +C 1 S 2 C 4 )S 6 )C 7 + (−((C 1 C 2 C 3 + S 1 S 3 )C 4 −C 1 S 2 S 4 )S 5 + (C 1 C 2 S 3 − S 1 C 3 )C 5 )S 7 r 12 =−((((C 1 C 2 C 3 + S 1 S 3 )C 4 −C 1 S 2 S 4 )C 5 + (C 1 C 2 S 3 − S 1 C 3 )S 5 )C 6 + ((C 1 C 2 C 3 + S 1 S 3 )S 4 +C 1 S 2 C 4 )S 6 )S 7 + (−((C 1 C 2 C 3 + S 1 S 3 )C 4 −C 1 S 2 S 4 )S 5 + (C 1 C 2 S 3 − S 1 C 3 )C 5 )C 7 r 13 =−(((C 1 C 2 C 3 + S 1 S 3 )C 4 −C 1 S 2 S 4 )C 5 + (C 1 C 2 S 3 − S 1 C 3 )S 5 )S 6 + ((C 1 C 2 C 3 + S 1 S 3 )S 4 +C 1 S 2 C 4 )C 6 r 21 = ((((S 1 C 2 C 3 −C 1 S 3 )C 4 − S 1 S 2 S 4 )C 5 + (S 1 C 2 S 3 +C 1 C 3 )S 5 )C 6 + ((S 1 C 2 C 3 −C 1 S 3 )S 4 +S 1 S 2 C 4 )S 6 )C 7 + (−((S 1 C 2 C 3 −C 1 S 3 )C 4 − S 1 S 2 S 4 )S 5 + (S 1 C 2 S 3 +C 1 C 3 )C 5 )S 7 Copyright © 2005 by CRC Press LLC 8 -18 Robotics and Automation Handbook r 22 =−((((S 1 C 2 C 3 −C 1 S 3 )C 4 − S 1 S 2 S 4 )C 5 + (S 1 C 2 S 3 +C 1 C 3 )S 5 )C 6 + ((S 1 C 2 C 3 −C 1 S 3 )S 4 +S 1 S 2 C 4 )S 6 )S 7 + (−((S 1 C 2 C 3 −C 1 S 3 )C 4 − S 1 S 2 S 4 )S 5 + (S 1 C 2 S 3 +C 1 C 3 )C 5 )C 7 r 23 =−(((S 1 C 2 C 3 −C 1 S 3 )C 4 − S 1 S 2 S 4 )C 5 + (S 1 C 2 S 3 +C 1 C 3 )S 5 )S 6 + ((S 1 C 2 C 3 −C 1 S 3 )S 4 +S 1 S 2 C 4 )C 6 r 31 = (((−S 2 C 3 C 4 −C 2 S 4 )C 5 − S 2 S 3 S 5 )C 6 + (−S 2 C 3 S 4 +C 2 C 4 )S 6 )C 7 + (−(−S 2 C 3 C 4 −C 2 S 4 )S 5 −S 2 S 3 C 5 )S 7 r 32 =−(((−S 2 C 3 C 4 −C 2 S 4 )C 5 − S 2 S 3 S 5 )C 6 + (−S 2 C 3 S 4 +C 2 C 4 )S 6 )S 7 + (−(−S 2 C 3 C 4 −C 2 S 4 )S 5 −S 2 S 3 C 5 )C 7 r 33 =−((−S 2 C 3 C 4 −C 2 S 4 )C 5 − S 2 S 3 S 5 )S 6 + (−S 2 C 3 S 4 +C 2 C 4 )C 6 d 0 7 =    d 11 d 21 d 31    (8.44) d 11 =−C 1 S 2 d 3 + ((C 1 C 2 C 3 + S 1 S 3 )S 4 +C 1 S 2 C 4 )d 5 + (−(((C 1 C 2 C 3 + S 1 S 3 )C 4 −C 1 S 2 S 4 )C 5 +(C 1 C 2 S 3 − S 1 C 3 )S 5 )S 6 + ((C 1 C 2 C 3 + S 1 S 3 )S 4 +C 1 S 2 C 4 )C 6 )d 7 d 21 =−S 1 S 2 d 3 + ((S 1 C 2 C 3 −C 1 S 3 )S 4 + S 1 S 2 C 4 )d 5 + (−(((S 1 C 2 C 3 −C 1 S 3 )C 4 − S 1 S 2 S 4 )C 5 +(S 1 C 2 S 3 +C 1 C 3 )S 5 )S 6 + ((S 1 C 2 C 3 −C 1 S 3 )S 4 + S 1 S 2 C 4 )C 6 )d 7 d 31 =−C 2 d 3 + (−S 2 C 3 S 4 +C 2 C 4 )d 5 + (−((−S 2 C 3 C 4 −C 2 S 4 )C 5 − S 2 S 3 S 5 )S 6 +(−S 2 C 3 S 4 +C 2 C 4 )C 6 )d 7 The transformation matrix is now given by A 0 7 =  R 0 7 d 0 7 000 1  (8.45) Example 8.5: The PUMA 600 Robot Arm The PUMA 600 has six revolute joints giving it six degrees of freedom. The motion of the arm is controlled by six brushed DC servo motors (see Figure 8.10 and Table 8.4). The first step in determining the D-H parameters is to locate the joints of the robot arm manipulator and determine if the joint is prismatic or revolute. There are six joints in the PUMA 600. All of them are revolute joints so θ i of each joint is variable. Starting from the base, the joint coordinate frames are assigned based on the algorithm outlined before. Having established the coordinate frames, the next step is to determine the D-H parameters. We begin by first determining α i . α i is the rotation about X i to make Z i−1 parallel with Z i . The rotation TABLE 8.4 D-H Parameters for the PUMA 600 No. Twist Angle α i Link Length a i Link Offset d i Joint Angle θ i 1 (0−1) π/20 0θ Va ri a bl e 1 2 (1−2) 0 a 2 d 2 θ Va ri a bl e 2 3 (2−3) −π/2 0 0 θ Va ri a bl e 3 4 (3−4) π/20 d 4 θ Va ri a bl e 4 5 (4−5) π/20 0θ Va ri a bl e 5 6 (5−6) 00d 6 θ Va ri a bl e 6 Copyright © 2005 by CRC Press LLC [...]... cos(a) and Sa = sin(a)   r 11 r 12 r 13   0 R6 = r 21 r 22 r 23  r 31 r 32 r 33 Copyright © 2005 by CRC Press LLC (8.48) 8-2 1 D-H Convention r 11 = (((C 1 C 2 C 3 − C 1 S2 S3 )C 4 − S1 S4 )C 5 + (−C 1 C 2 S3 − C 1 S2 C 3 )S5 )C 6 + ((C 1 C 2 C 3 − C 1 S2 S3 )S4 + S1 C 4 )S6 r 12 = −(((C 1 C 2 C 3 − C 1 S2 S3 )C 4 − S1 S4 )C 5 + (−C 1 C 2 S3 − C 1 S2 C 3 )S5 )S6 + ((C 1 C 2 C 3 − C 1 S2 S3 )S4 + S1... 6 r 13 = ((C 1 C 2 C 3 − C 1 S2 S3 )C 4 − S1 S4 )S5 − (−C 1 C 2 S3 − C 1 S2 C 3 )C 5 r 21 = (((S1 C 2 C 3 − S1 S2 S3 )C 4 + C 1 S4 )C 5 + (−S1 C 2 S3 − S1 S2 C 3 )S5 )C 6 + ((S1 C 2 C 3 − S1 S2 S3 )S4 − C 1 C 4 )S6 r 22 = −(((S1 C 2 C 3 − S1 S2 S3 )C 4 + C 1 S4 )C 5 + (−S1 C 2 S3 − S1 S2 C 3 )S5 )S6 + ((S1 C 2 C 3 − S1 S2 S3 )S4 − C 1 C 4 )C 6 r 23 = ((S1 C 2 C 3 − S1 S2 S3 )C 4 + C 1 S4 )S5 − (−S1... 8-2 0 Robotics and Automation Handbook expression in Equation (8.24) and Equation (8.25) we get 0 R6 = (U1 V1 )(U2 V2 )(U3 V3 )(U4 V4 )(U5 V5 )(U6 V6 ) (8. 46) 0 d6 = U1 s 1 + (U1 V1 )U2 s 2 + (U1 V1 )(U2 V2 )U3 s 3 + (U1 V1 )(U2 V2 )(U3 V3 )U4 s 4 + (U1 V1 )(U2 V2 )(U3 V3 )(U4 V4 )U5 s 5 + (U1 V1 )(U2 V2 )(U3 V3 )(U4 V4 )(U5 V5 )U6 s 6 (8.47) The following matrices are the individual U and V matrices... substituting Equation (9 .13 ) and Equation (9 .14 ) into Equation (9.9) gives 0 = A1 − (1 − A1 )e √ζ π 1 ζ 2 (9 .15 ) Rearranging Equation (9 .15 ) and solving for A1 gives A1 = e √ζ π 1 ζ 2 1+ e √ζ π (9 . 16 ) 1 ζ 2 To simplify the expression, multiply top and bottom of the right-hand side by the inverse of the exponential term to get A1 = Copyright © 2005 by CRC Press LLC 1 1+K (9 .17 ) ... S3 − C 1 S2 C 3 )C 5 )d6 d 21 = S1 C 2 a2 − C 1 d2 + (−S1 C 2 S3 − S1 S2 C 3 )d4 + (((S1 C 2 C 3 − S1 S2 S3 )C 4 + C 1 S4 )S5 − (−S1 C 2 S3 − S1 S2 C 3 )C 5 )d6 d 31 = S2 a2 + (−S2 S3 + C 2 C 3 )d4 + ((S2 C 3 + C 2 S3 )C 4 S5 − (−S2 S3 + C 2 C 3 )C 5 )d6 The final transformation matrix is A0 = 6 Copyright © 2005 by CRC Press LLC 0 R6 0 d6 0 0 0 1 (8.50) 9 Trajectory Planning for Flexible Robots 9 .1 9.2...   cos( 1 ) − sin( 1 ) 0   U1 =  sin( 1 ) cos( 1 ) 0, 0 0 1   1 0 0   V1 = 0 0 1 0 1 0   cos(θ2 ) − sin(θ2 ) 0   U2 =  sin(θ2 ) cos(θ2 ) 0, 0 0 1   1 0 0   V2 = 0 1 0 0 0 1   cos(θ3 ) − sin(θ3 ) 0   U3 =  sin(θ3 ) cos(θ3 ) 0, 0 0 1   1 0 0   V3 = 0 0 1 0 1 0   cos(θ4 ) − sin(θ4 ) 0   U4 =  sin(θ4 ) cos(θ4 ) 0, 0 0 1   1 0 0   V4 = 0 0 1 0 1 0   cos(θ5... − S1 S2 C 3 )C 5 r 31 = ((S2 C 3 + C 2 S3 )C 4 C 5 + (−S2 S3 + C 2 C 3 )S5 )C 6 + (S2 C 3 + C 2 S3 )S4 S6 r 32 = −((S2 C 3 + C 2 S3 )C 4 C 5 + (−S2 S3 + C 2 C 3 )S5 )S6 + (S2 C 3 + C 2 S3 )S4 C 6 r 33 = (S2 C 3 + C 2 S3 )C 4 S5 − (−S2 S3 + C 2 C 3 )C 5   d 11   0 d6 = d 21  d 31 (8.49) d 11 = C 1 C 2 a2 + S1 d2 + (−C 1 C 2 S3 − C 1 S2 C 3 )d4 + (((C 1 C 2 C 3 − C 1 S2 S3 )C 4 − S1 S4 )S5 − (−C 1 C... cos(θ5 ) 0, 0 0 1   1 0 0   V5 = 0 0 1 0 1 0   cos( 6 ) − sin( 6 ) 0   U6 =  sin( 6 ) cos( 6 ) 0, 0 0 1   1 0 0   V6 = 0 1 0 0 0 1 Similarly the s i vector is given by   0   s 1 = 0,   a2   s 2 =  0 , 0 d2   0   s 3 = 0, 0   0   s 4 =  0 , d4   0   s 5 = 0, 0   0   s6 =  0  d6 Substituting the above Ui , Vi , and s i into Equation (8. 46) and Equation... = 0 (9 .6) The problem is now reduced to finding three unknowns (A1 , A2 , t2 ) In order for Equation (9 .1) to equal 1 This problem statement and solution are similar to one first published by Smith [4] in 19 57 Copyright © 2005 by CRC Press LLC 9-8 Robotics and Automation Handbook zero, the expressions in Equation (9.2) must both equal zero independently because they are squared in Equation (9 .1) Therefore,... On 5 4 3 2 1 0 0 5 10 15 Time FIGURE 9.7 Crane response when operator presses move button 15 0 Finish Y Position 10 0 50 Start 0 15 0 10 0 −50 0 X Position FIGURE 9.8 Payload response moving through an obstacle field Copyright © 2005 by CRC Press LLC 9-7 Trajectory Planning for Flexible Robots In order to derive the amplitudes and time locations of the two-impulse command shown in Figure 9 .10 , a mathematical . S 2 S 4 C 6 r 33 =−S 2 C 4 S 5 +C 2 C 5 d 0 6 =    d 11 d 21 d 31    (8.39) d 11 =−S 1 d 2 +C 1 S 2 d 3 + ((C 1 C 2 C 4 − S 1 S 4 )S 5 +C 1 S 2 C 5 )d 6 d 21 =C 1 d 2 + S 1 S 2 d 3 + ((S 1 C 2 C 4 +C 1 S 4 )S 5 + S 1 S 2 C 5 )d 6 d 31 =. sin(i): R 0 6 =    r 11 r 12 r 13 r 21 r 22 r 23 r 31 r 32 r 33    (8.38) r 11 = ((C 1 C 2 C 4 − S 1 S 4 )C 5 −C 1 S 2 S 5 )C 6 + (−C 1 C 2 S 4 − S 1 C 4 )S 6 r 12 =−((C 1 C 2 C 4 − S 1 S 4 )C 5 −C 1 S 2 S 5 )S 6 +. S 12 S 4 −C 12 S 4 + S 12 C 4 0 C 1 a 1 +C 12 a 2 S 12 C 4 −C 12 S 4 −S 12 S 4 −C 12 C 4 0 S 1 a 1 + S 12 a 2 00 1 d 1 − d 3 − d 4 00 01      (8.35) Copyright © 2005 by CRC Press LLC D-H

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