In this study, a task-space adaptive robust control methodology which takes uncertainties and external disturbances into account is proposed for a class of duct cleaning mobile manipulators. First of all, the configuration of the real duct cleaning robot is introduced, and the Jacobian matrix and the dynamic model of the real robotic system are obtained. Then, the structure of adaptive robust controller based on sliding mode control (SMC) approach and the fuzzy wavelet neural network is detailed, the proposed control approach combines the advantages of SMC which can suppress the external disturbances with the fuzzy wavelet neural network which can compensate the uncertainties by its strong ability to approximate a nonlinear function to an arbitrary accuracy, the stability of the whole robotic control system, the uniformly ultimately boundedness of tracking errors, and the boundedness of fuzzy wavelet neural networks weight estimation errors are all guaranteed based on the Lyapunov stability theory. Finally, simulation results are presented to demonstrate the superior performance of the proposed approach, and experiments are given to illustrate that the proposed approach is useful for real duct cleaning robot system with well performance.
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November 2019
Research-Article
A Task-Space Tracking Control Approach for Duct Cleaning Robot Based on Fuzzy Wavelet Neural Network
Bu Dexu,
Bu Dexu
College of Electrical and
Information Engineering,
Hunan University,
Changsha 410082, China
e-mail: yuying4000@163.com
Information Engineering,
Hunan University,
Changsha 410082, China
e-mail: yuying4000@163.com
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Kong Weiwei,
Kong Weiwei
School of Vehicle and Mobility,
Tsinghua University,
Beijing 100082, China
e-mail: kongweiwei@mail.tsinghua.edu.cn
Tsinghua University,
Beijing 100082, China
e-mail: kongweiwei@mail.tsinghua.edu.cn
1Corresponding author.
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Qi Yunlong
Qi Yunlong
Search for other works by this author on:
Bu Dexu
College of Electrical and
Information Engineering,
Hunan University,
Changsha 410082, China
e-mail: yuying4000@163.com
Information Engineering,
Hunan University,
Changsha 410082, China
e-mail: yuying4000@163.com
Kong Weiwei
School of Vehicle and Mobility,
Tsinghua University,
Beijing 100082, China
e-mail: kongweiwei@mail.tsinghua.edu.cn
Tsinghua University,
Beijing 100082, China
e-mail: kongweiwei@mail.tsinghua.edu.cn
Qi Yunlong
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received November 6, 2018; final manuscript received May 26, 2019; published online July 1, 2019. Assoc. Editor: Mohammad A. Ayoubi.
J. Dyn. Sys., Meas., Control. Nov 2019, 141(11): 111004 (14 pages)
Published Online: July 1, 2019
Article history
Received:
November 6, 2018
Revised:
May 26, 2019
Citation
Dexu, B., Weiwei, K., and Yunlong, Q. (July 1, 2019). "A Task-Space Tracking Control Approach for Duct Cleaning Robot Based on Fuzzy Wavelet Neural Network." ASME. J. Dyn. Sys., Meas., Control. November 2019; 141(11): 111004. https://doi.org/10.1115/1.4043933
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