2010International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information TechnologyRequires access

Adaptive inverse dynamics control for triple rotary joint mainipulator

Jadesada Maneeratanaporn, Pakpoom Patompak, Siripong Varongkriengkrai, Itthisek Nilkhamhang, Kanokvate Tungpimolrut

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Abstract

This paper addresses the stability and performance of adaptive control in robotic manipulators, which represents an important and unique class of nonlinear, time-varying, multi-input multi-output dynamic systems. An adaptive control was developed to attenuate the effect of the unknown parameter. This paper, after summarizing the mechanical design and dynamic equation, shows that the dynamic parameters of the manipulator, assumed to be initially unknown, can be estimated by using the adaptive mechanism design. Simulation results are presented to show the performance of the inverse dynamic controller and adaptive control.

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What this paper is about

This paper addresses the stability and performance of adaptive control in robotic manipulators, which represents an important and unique class of nonlinear, time-varying, multi-input multi-output dynamic systems. An adaptive control was developed to attenuate the effect of the unknown parameter. This paper, after summarizing the mechanical design and dynamic equation, shows that the dynamic parameters of the manipulator, assumed to be initially unknown, can be estimated by using the adaptive mechanism design. Simulation results are presented to show the performance of the inverse dynamic controller and adaptive control.

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Available abstract

This paper addresses the stability and performance of adaptive control in robotic manipulators, which represents an important and unique class of nonlinear, time-varying, multi-input multi-output dynamic systems. An adaptive control was developed to attenuate the effect of the unknown parameter. This paper, after summarizing the mechanical design and dynamic equation, shows that the dynamic parameters of the manipulator, assumed to be initially unknown, can be estimated by using the adaptive mechanism design. Simulation results are presented to show the performance of the inverse dynamic controller and adaptive control.

Key concepts: Control theory (sociology), Inverse dynamics, Adaptive control, Nonlinear system, Computer science, Controller (irrigation), Inverse, Mechanism (biology)

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