Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment

In this paper, the dynamical performance of polishing robot working in unstructured environment is investigated. Structure mechanism and operating principle of a polishing robot are introduced firstly, and its dynamical model is established. Then, a S-shaped acceleration-deceleration path planning m...

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Main Authors: Zhong Luo, Shuxian Yang, Yilan Sun, Hongyi Liu
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.3233/SAV-2010-0603
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spelling doaj-efd987a4d96845de8914c71eefd11f942020-11-25T02:48:03ZengHindawi LimitedShock and Vibration1070-96221875-92032011-01-01181-235536410.3233/SAV-2010-0603Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured EnvironmentZhong Luo0Shuxian Yang1Yilan Sun2Hongyi Liu3School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, ChinaIn this paper, the dynamical performance of polishing robot working in unstructured environment is investigated. Structure mechanism and operating principle of a polishing robot are introduced firstly, and its dynamical model is established. Then, a S-shaped acceleration-deceleration path planning method and a human-simulated intelligent control (HSIC) strategy are proposed. The S-shaped acceleration-deceleration path planning method is to switch the magnitude and direction of the abrupt velocities between motion sections in order to improve the work efficiency, the smoothness of movement and the processing accuracy. The HSIC control strategy is built based on the unstructured environment information measured by ultrasonic sensors, in which the appropriate programs prepared in advance are determined according to the size and sign of both the control error and its change rate. Simulation results show that the intelligent control strategy combining with optimum path planning method are effective to reduce the structure vibration, to improve the stability and the control accuracy of the polishing robot system.http://dx.doi.org/10.3233/SAV-2010-0603
collection DOAJ
language English
format Article
sources DOAJ
author Zhong Luo
Shuxian Yang
Yilan Sun
Hongyi Liu
spellingShingle Zhong Luo
Shuxian Yang
Yilan Sun
Hongyi Liu
Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment
Shock and Vibration
author_facet Zhong Luo
Shuxian Yang
Yilan Sun
Hongyi Liu
author_sort Zhong Luo
title Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment
title_short Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment
title_full Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment
title_fullStr Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment
title_full_unstemmed Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment
title_sort optimized control for dynamical performance of the polishing robot in unstructured environment
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2011-01-01
description In this paper, the dynamical performance of polishing robot working in unstructured environment is investigated. Structure mechanism and operating principle of a polishing robot are introduced firstly, and its dynamical model is established. Then, a S-shaped acceleration-deceleration path planning method and a human-simulated intelligent control (HSIC) strategy are proposed. The S-shaped acceleration-deceleration path planning method is to switch the magnitude and direction of the abrupt velocities between motion sections in order to improve the work efficiency, the smoothness of movement and the processing accuracy. The HSIC control strategy is built based on the unstructured environment information measured by ultrasonic sensors, in which the appropriate programs prepared in advance are determined according to the size and sign of both the control error and its change rate. Simulation results show that the intelligent control strategy combining with optimum path planning method are effective to reduce the structure vibration, to improve the stability and the control accuracy of the polishing robot system.
url http://dx.doi.org/10.3233/SAV-2010-0603
work_keys_str_mv AT zhongluo optimizedcontrolfordynamicalperformanceofthepolishingrobotinunstructuredenvironment
AT shuxianyang optimizedcontrolfordynamicalperformanceofthepolishingrobotinunstructuredenvironment
AT yilansun optimizedcontrolfordynamicalperformanceofthepolishingrobotinunstructuredenvironment
AT hongyiliu optimizedcontrolfordynamicalperformanceofthepolishingrobotinunstructuredenvironment
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