Author:
Makwana Mahesh A,Patolia Haresh P
Abstract
Abstract
For a parallel configuration of a robot manipulator, the solution of Forward Kinematics (FK) is tough compared to Inverse Kinematics (IK). This paper presents the model-based motion planning of a delta parallel robot in Simulink’s SimScape environment. A model was developed and simulated for motion study. The developed model has been simulated to solve the FK of the parallel manipulator and to check its efficacy. First, a helix curve has been planned within the reachable workspace. Then IK was solved to extract angular positions of the biceps. Obtained angular positions then fed to SimScape model to run a simulation. The path taken by the end effector of the system calculated by simulation is in good approximation to the planned helix path. Further, visual simulation and motion analysis of delta parallel robot can be performed by Model-based simulation and solves mechanical design as well control system design problems. Experimental study also shows that the circular path designed for experiment is well followed in real time simulation.
Subject
General Physics and Astronomy
Reference15 articles.
1. A Configuration Space Control of a Parallel Delta Robot with a Neural Network Based Inverse Kinematics;Uzunovic,2013
2. Solving continuous trajectory and forward kinematics simultaneously based on ANN;Ang;Int. J. Comput. Commun. Control,2014
3. Neural Networks Approaches for Computing the Forward Kinematics of a Redundant Parallel Manipulator;Sadjadian;Comput. Intell.,2005
4. A Virtual Laboratory to Simulate the Control of Parallel Robots;Peidró;IFAC-PapersOnLine,2015
5. Kinematic modelling and simulation of a 2-R robot using solidworks and verification by matlab/simulink;Gouasmi;Int. J. Adv. Robot. Syst.,2012
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献