Experimental Evaluation Of Two Robust Control Algorithms On An Industrial Manipulator

Moshe Cohen; Laeeque K. Daneshmend

doi:10.1117/12.960333

27 March 1989 Experimental Evaluation Of Two Robust Control Algorithms On An Industrial Manipulator

Moshe Cohen, Laeeque K. Daneshmend

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960333
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

Industrial manipulators are typically controlled by proportional-derivative algorithms implemented at the individual joints. Recent theoretical results have shown that robust controllers which take into account the system dynamics can provide more accurate trajectory tracking and greater robustness to unmodeled disturbances. This research implements two such controllers - a sliding mode algorithm, and an acceleration feedback algorithm - on an industrial manipulator and evaluates their performance in comparison with a proportional-derivative algorithm implemented in the same manner. The objective of robust control designs is to make the system insensitive to disturbances and modelling uncertainties. The manipulator equations of motion are non-linear and cross-coupled, and in practice the joint actuators experience significant frictional disturbances due to high gear ratios. The robust algorithms implemented do not rely on an accurate model of the dynamics, and are computationally efficient in comparison to model-based (feedforward) controllers. Experimental results are presented for sliding-mode and acceleration feedback controllers, and these are compared with conventional proportional-derivative under the same and operating conditions. Tracking of position trajectories is shown to improve markedly when a particular sliding-mode scheme is used.

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Moshe Cohen and Laeeque K. Daneshmend "Experimental Evaluation Of Two Robust Control Algorithms On An Industrial Manipulator", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960333

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KEYWORDS

Detection and tracking algorithms

Feedback control

Switching

Algorithm development

Computer programming

Robots

Computer vision technology

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