Technical Briefs

Repetitive Motion Planning and Control on Redundant Robot Manipulators With Push-Rod-Type Joints

[+] Author and Article Information
Z. Zhang

School of Information Science and Technology,
Sun Yat-sen University,
Guangzhou, Guangdong, 510006, PRC
e-mail: iloveyouzhijun@126.com;

Y. Zhang

School of Information Science and Technology,
Sun Yat-sen University,
Guangzhou, Guangdong, 510006, PRC;
Research Institute of Sun Yat-sen
University in Shenzhen,
Shenzhen, Guangdong, 518057, PRC
e-mail: zhynong@mail.sysu.edu.cn; ynzhang@ieee.org

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the Journal of Dynamic Systems, Measurement, and Control. Manuscript received December 20, 2011; final manuscript received July 27, 2012; published online November 7, 2012. Assoc. Editor: Alexander Leonessa.

J. Dyn. Sys., Meas., Control 135(2), 024502 (Nov 07, 2012) (4 pages) Paper No: DS-11-1400; doi: 10.1115/1.4007608 History: Received December 20, 2011; Revised July 27, 2012

To demonstrate the hardware realizability and efficacy of the quadratic program (QP) based methods for solving the nonrepetitive problem, this paper proposes a novel repetitive motion planning and control (RMPC) scheme and realizes this scheme on a physical planar six degrees-of-freedom (DOF) push-rod-joint (PRJ) manipulator. To control the PRJ manipulator, this scheme considers variable joint-velocity limits and joint-limit margins. In addition, to decrease the errors, this scheme considers the position-error feedback. Then, the scheme is reformulated as a QP problem. Due to control of the digital computer, a discrete-time QP solver is presented to solve the QP problem. For comparison, both of the nonrepetitive and repetitive motions are performed on the manipulator to track square and B-shaped paths. Experimental results validate the physical realizability and effectiveness of the RMPC scheme.

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Grahic Jump Location
Fig. 1

Hardware system of the six-DOF PRJ manipulator

Grahic Jump Location
Fig. 2

Limit conversion with margins considered for 0 < θi- < θi+

Grahic Jump Location
Fig. 3

Images of the actual task execution when the end-effector of the robot tracks a square path with η=4

Grahic Jump Location
Fig. 4

Images of the actual task execution when the end-effector of the robot tracks a B-shaped path with η=4




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