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From Kinematics to Arm Control a)Calibrating the Kinematics Model b)Arm Motion Selection c)Motor Torque Calculations for a Planetary Robot Arm CS36510.

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Presentation on theme: "From Kinematics to Arm Control a)Calibrating the Kinematics Model b)Arm Motion Selection c)Motor Torque Calculations for a Planetary Robot Arm CS36510."— Presentation transcript:

1 From Kinematics to Arm Control a)Calibrating the Kinematics Model b)Arm Motion Selection c)Motor Torque Calculations for a Planetary Robot Arm CS

2 a) Calibrating the Kinematics Model Resolution, Repeatability and Accuracy Causes of Mechanical Error Calibrating the kinematics model CS

3 Resolution, Repeatability and Accuracy 1.Resolution: smallest incremental move that a robot can physically produce. 2.Repeatability: a measure of the robot’s ability to move back to the same position and orientation over and over again. Also referred to as ‘precision’. 3.Accuracy: the ability of the robot to move precisely to a desired position in 3D space CS

4 Repeatability (Precision) and Accuracy Poor Accuracy Poor Repeatability Good Accuracy Poor Repeatability Poor Accuracy Good Repeatability Good Accuracy Good Repeatability (Assuming Gaussian Distribution) CS

5 Causes of Mechanical Error Denavit-Hartenberg (D-H) Parameters: Link Length (d); Link Offset (a); Link Twist (α); Link Rotation (θ) CS

6 Calibrating the Beagle 2 Arm Typical Vicon measurement setup Beagle 2 FM Arm with Vicon Markers CS

7 Oxford Metrics Vicon System ‘Object’definition in Vicon system CS

8 Calibrating the ARM Kinematics Model The simulated (perfect) arm is moved to a number of positions using the arm IK model. The end position for each simulated Vicon marker is measured. The real arm is then commanded to the same number of predefined positions in Cartesian space using the joint values calculated from the arm IK model. The actual end position for each real Vicon marker is measured. The real and simulated Vicon marker positions are compared and joint offsets (corrections) are calculated for the simulated arm’s IK model using a least-squares fitting method. The result is that the simulated arm with the corrected IK model produces identical positioning results as the real arm. i.e. The simulated arm behaves as per the real arm. CS36510 With IK Model IK model corrections 8

9 b) Arm Motion Selection Joint-by-Joint Motion (JJM) Slew Motion (SM) Joint Interpolated Motion (JIM) CS

10 Joint-by-Joint Motion (JJM or JBJ ) Strengths: Simplest of the possible motion types; good for un-stowing and stowing an arm as the major joints can be moved one after another. Typically no straight-line trajectory inverse kinematics solution will exist for this type activity anyway. Good at minimising power usage per unit time. Weaknesses: Joints cannot move simultaneously, hence cannot be used for straight line (continuous) trajectories. Rather payload motion will be in an series of arcs. Large total time to complete all joint motions. CS

11 Slew Motion (SM) CS Strengths: Also known as “Simultaneous Full Speed” (SFS) motion. All joints that require motion start simultaneously at default joint speeds (usually maximum speed). Quicker joint motion completion when compared to JJM. SM can be used for payload straight-line trajectories. Weaknesses: Greater power usage per unit time compared to JJM. Joints with smaller angular movement complete their motions before those joints with larger angular movements. Smooth straight-line trajectories not possible. Payload motion tends to zig-zag about the desired straight-line trajectory.

12 Joint Interpolated Motion (JIM) CS Strengths: All joints that require movement start simultaneously and stop simultaneously. Robot attempts to achieve simultaneous start and stop by setting the speed of each joint angular motion to be proportional to the angular distance to be travelled for each joint. Produces smooth straight-line trajectory motion. Weaknesses: Greater power usage per unit time compared to JJM. Greater computational overheads when compared to SM.

13 Knot Points CS Straight-line trajectory requires knot points (from spline mathematics) to be generated between the start and finish positions. The desired straight-line between the payload start and finish positions can be uniformly divided into intermediate points in Cartesian space (called knot points) 1. Each of these points can be put through the IK model to generate the joint angles required to move the arm to each of these intermediate points in turn; whilst setting each joint speed (e.g. proportional for JIM) to the required angular motion. 1 Taylor, R. H., Planning and Execution of Straight Line Manipulator Trajectories, IBM J. RES. DEVELOP, VOL. 23, NO. 4, pp , JULY Start position Finish position Knot point

14 c) Motor Torque Calculations for a Planetary Robot Arm What is torque, and why do we need it? –Torque (τ) is defined as a turning (or twisting) force –A robot arm joint motor, with an attached linkage and payload, has to generate a torque to be able to move the linkage and payload –The magnitude of τ depends upon the payload force, and the length of the joint motor linkage CS

15 Torque Equation - 1 CS τ = F × l where τ is the magnitude of the torque (N·m), l (in meters) is the linkage length, and F (in Newtons) is the magnitude of the force. In the vertical plane, the force acting upon an object (causing it to fall) is the acceleration due to gravity (for Earth, g ≈ 9.81 m/sec 2 ). Therefore F = m × g, where m is the magnitude of the mass of the object (in kg), and F is normally referred to as the object’s weight.

16 CS Torque Equation - 2 F θ = 90 ⁰ F θ = 45 ⁰ F θ = 0 ⁰ τ is zero τ is maximum sin 90° = 1 sin 45° = 0.7 sin 0° = 0 τ = F × l × sinθ L L L L Joint Motor Linkage (length l) maximum > τ > zero Pivot Point

17 CS Real Arm Linkage Torque F L Joint Motor Pivot Point (Use maximum (holding) torque case) L WL WM Real motors and linkages have mass and therefore weight under gravity Assume linkage mass is evenly distributed and the weight is located at the centre of the linkage length Weight Motor Weight Linkage

18 CS Arm Joint Motor Torque Calculations L3 L2 L1 WP WL1 WL2 WL3 WM1WM2 τM1= (WP × L1) + (WL1 × (0.5 × L1)) τM2= (WP × (L1 + L2)) + (WL1 × ((0.5 × L1) + L2)) + (WM1 × L2) + (WL2 × (0.5 × L2)) τM3= (WP × (L1 + L2 + L3)) + (WL1 × ((0.5 × L1) + L2 +L3)) + (WM1 × (L2 + L3)) + (WL2 × ((0.5 × L2) + L3)) + (WM2 × L3) + (WL3 × (0.5 × L3)) Payload M1M2 M3

19 CS Motor Torque Calculation Example τM1 = Nm τM2 = Nm τM3 = Nm Titan gravity1.373 m/sec 2 Payload mass2.0 kg Linkage L1 length0.3 m Linkage L2 length0.5 m Linkage L3 length0.6 m Mass of Linkage L10.5 kg Mass of Linkage L20.8 kg Mass of Linkage L30.9 kg Mass of Joint Motor kg Mass of Joint Motor kg Based upon arm configuration shown in the previous slide, calculate the three motor torques, i.e. τM1, τM2, and τM3, using the parameters in the table below:

20 Gear Box Selection: a)A gear box will be needed to achieved desired output motor torque b)Gear Box Torque Ratio is ratio of output torque to input torque, e.g. 100:1, 1000:1 etc. c)E.g. for τM3 select 73.1 × Nm × 100:1 = 7.31 Nm CS

21 Final Points Maximum holding torques calculated for each motor. Would need to add contingency (e.g. 20%) for each motor. Calibration, motion selection, and motor torques also apply to a rover locomotion chassis, i.e. steering and drive mechanism Same techniques can be applied, but chassis details not covered here CS


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