Volume 18, Issue 1 (2018)                   Modares Mechanical Engineering 2018, 18(1): 335-344 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

naghibi S R, Pirmohamadi A A. Control of manipulator in task space using Modified Transpose Effective Jacobian and model based friction compensator. Modares Mechanical Engineering. 2018; 18 (1) :335-344
URL: http://journals.modares.ac.ir/article-15-8778-en.html
1- department of mechanical engineering, faculty of engineering, university of Zanjan, Zanjan, Iran
2- faculty / university of Zanjan
Abstract:   (1801 Views)
This paper considers the issue of precise control of robotic manipulators in the presence of dynamic uncertainties along with hard nonlinear perturbation such as friction using Modified Transpose Effective Jacobian and model based friction compensator. In order to model friction in robot joints, The LuGre friction model has been used and its unknown parameters have been identified by a bio-inspired optimization algorithm called Cuttlefish. By comparing Cuttlefish with other meta-heuristic algorithms such as Glowworm swarm optimization, its superiorities have been proved. After accurate identification of model parameters and determine frictions function, using Modified Transpose Effective Jacobian and model-based friction compensator, a two link planar manipulator has been controlled experimentally. Furthermore in order to compare the controller performance with other methods, the mentioned manipulator has been controlled using computed torque controller and transpose Jacobian besides Adaptive Neural Network Radial Based Function friction compensators. Experimental results offer the Modified Transpose effective Jacobian control method has privileges for better tracking control with more accuracy and better friction compensating as well as better robustness against dynamic uncertainties with lower computational efforts.
Full-Text [PDF 1804 kb]   (2253 Downloads)    
Article Type: Research Article | Subject: robatic
Received: 2017/11/7 | Accepted: 2017/12/17 | Published: 2018/01/12

Add your comments about this article : Your username or Email: