Motion control of free-floating variable geometry truss. II - Inverse kinematics

1996 ◽  
Vol 19 (4) ◽  
pp. 764-771 ◽  
Author(s):  
Shengyang Huang ◽  
M. C. Natori ◽  
Kohichi Miura
Keyword(s):  
Motion Control ◽  
Inverse Kinematics ◽  
Variable Geometry ◽  
Variable Geometry Truss

Kinematics of a n–bay triangle–triangle variable geometry truss manipulator

Robotica ◽  
1992 ◽  
Vol 10 (3) ◽  
pp. 263-267
Author(s):  
L. Beiner
Keyword(s):  
Iterative Method ◽  
Closed Form ◽  
Inverse Kinematics ◽  
Variable Length ◽  
Variable Geometry ◽  
Closed Form Solutions ◽  
Numerical Example ◽  
Forward And Inverse Kinematics ◽  
Variable Geometry Truss Manipulator ◽  
Variable Geometry Truss

SUMMARYVariable geometry truss manipulators (VGTM) are static trusses where the lengths of some members can be varied, allowing one to control the position of the free end relative to the fixed one. This paper deals with a planar VGTM consisting of a n–bay triangle-triangle truss with one variable length link (i.e. one DOF) per bay. Closed-form solutions to the forward, inverse, and velocity kinematics of a 3-DOF version of this VGTM are presented, while the forward and inverse kinematics of an n–DOF (redundant) one are solved by a recursive and an iterative method, respectively. A numerical example is presented.

Inverse kinematics of variable-geometry truss manipulators

1991 ◽  
Vol 8 (2) ◽  
pp. 249-266 ◽  
Author(s):  
Frank Naccarato ◽  
Peter Hughes
Keyword(s):  
Inverse Kinematics ◽  
Variable Geometry ◽  
Variable Geometry Truss

scholarly journals Inverse kinematics for the variable geometry truss manipulator via a Lagrangian dual method

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141666677 ◽  
Author(s):  
Yanchun Zhao ◽  
Shiqiang Hu ◽  
Yongsheng Yang
Keyword(s):  
Inverse Kinematics ◽  
Optimal Solution ◽  
Optimization Procedure ◽  
Variable Geometry ◽  
Quadratic Constraints ◽  
Fixed Base ◽  
Inverse Kinematics Problem ◽  
Central Curve ◽  
Variable Geometry Truss Manipulator ◽  
Variable Geometry Truss

This article studies the inverse kinematics problem of the variable geometry truss manipulator. The problem is cast as an optimization process which can be divided into two steps. Firstly, according to the information about the location of the end effector and fixed base, an optimal center curve and the corresponding distribution of the intermediate platforms along this center line are generated. This procedure is implemented by solving a non-convex optimization problem that has a quadratic objective function subject to quadratic constraints. Then, in accordance with the distribution of the intermediate platforms along the optimal center curve, all lengths of the actuators are calculated via the inverse kinematics of each variable geometry truss module. Hence, the approach that we present is an optimization procedure that attempts to generate the optimal intermediate platform distribution along the optimal central curve, while the performance index and kinematic constraints are satisfied. By using the Lagrangian duality theory, a closed-form optimal solution of the original optimization is given. The numerical simulation substantiates the effectiveness of the introduced approach.

Forward and Inverse Kinematic Solution of the Variable Geometry Truss Robot Based on an N-Celled Tetrahedron-Tetrahedron Truss

1990 ◽  
Vol 112 (1) ◽  
pp. 16-22 ◽  
Author(s):  
S. Jain ◽  
S. N. Kramer
Keyword(s):  
Inverse Kinematics ◽  
Inverse Kinematic ◽  
Variable Geometry ◽  
Load Carrying ◽  
Forward And Inverse Kinematics ◽  
Actuation Scheme ◽  
Variable Geometry Truss Manipulator ◽  
Variable Geometry Truss ◽  
Exceptional Stability ◽  
Kinematic Solution

The Tetrahedron-Tetrahedron truss (or TT truss for short) has exceptional stability, stiffness, and load-carrying capabilities. Because of this fact, the TT truss is well suited for use as a variable geometry truss manipulator (VGTM) by appropriately choosing certain links whose variable lengths can be controlled. Since the TT truss is composed of n-cells, its applications include the retrieval of equipment, bridges over and around obstacles, and applications which utilize collapsible programmable structures capable of relatively large displacements. In this paper an actuation scheme and the general solution to the forward and inverse kinematics problems for an n-celled TT truss are presented. Numerical examples are also presented.

Motion control of free-floating variable geometry truss. I - Kinematics

1996 ◽  
Vol 19 (4) ◽  
pp. 756-763 ◽  
Author(s):  
Shengyang Huang ◽  
M. C. Natori ◽  
Kohichi Miura
Keyword(s):  
Motion Control ◽  
Variable Geometry ◽  
Variable Geometry Truss

scholarly journals Inverse kinematics of asymmetric octahedral variable geometry truss manipulator with obstacle avoidance through inexact interior point optimization

2018 ◽  
Vol 15 (6) ◽  
pp. 172988141881718
Author(s):  
Yanchun Zhao ◽  
Shiqiang Hu ◽  
Yongsheng Yang
Keyword(s):  
Obstacle Avoidance ◽  
Interior Point ◽  
Inverse Kinematics ◽  
Sparse Matrix ◽  
Operation Time ◽  
Variable Geometry ◽  
Quadratic Constraints ◽  
Memory Space ◽  
Variable Geometry Truss Manipulator ◽  
Variable Geometry Truss

This article studies the inverse kinematics for asymmetric octahedral variable geometry truss manipulator with obstacle avoidance. The inverse kinematics problem is cast as a nonconvex optimization that having quadratic objective function subject to quadratic constraints. This article uses an inexact interior point optimization to solve it, which is developed on the basis of the imprecise algorithm Ipopt. According to the particularity of our actual optimization problem, each iteration undergoes specific modifications so as to minimize the memory consumption as well as computation time. Utilizing the sparse and binary characteristics of the coefficient matrix, respectively, the algorithm allocates the computation to the finite sparse matrix vector multiplication and changes the storage form, which greatly reduces the memory space. Based on the unique rules of inverse kinematics, the iteration direction of the algorithm becomes more clear. With the aid of mechanical constraints inherent in the manipulator, the algorithm omits the feasibility recovery part that embedded in the solver Ipopt. All these make us save the operation time greatly while utilizing Ipopt algorithm. To demonstrate the effectiveness of the proposed approach, the scheme was applied to obstacle avoidance inverse kinematics of variable geometry truss manipulator with three modules.

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