Abstract
Taking heavy load field robot as research object, it’s characteristics of position error and vibration are analyzed synthetically. Based on finite element theory and on the basic of elastic dynamic model, establishing the comprehensive dynamic model. In addition, intelligent control plays important role in the working performance of the flexible heavy duty robot, in this paper, we present new methodology for a improved depth learning algorithm and a kind of humanoid intelligent fuzzy control method of flexible heavy duty robot. Finally, by use of simulation software, numerical calculation and experiment, verifying the correctness of comprehensive dynamic model, and the characteristics of position error and vibration are analyzed. which provides guidance for the accurate and stable control of the same kinds of flexible heavy duty equipments. In addition, through analysis, because of the internal and external factors, the working field flexible heavy duty robot is in two kinds of temperature field, that is the non-uniform temperature field and the uniform temperature field, and we can also find the strong dynamics coupling effect of the system, and defining the direction of future research.
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Zheng, K., Hu, Y., Wu, B., Shi, T. (2019). Intelligent control and simulation study for field flexible heavy duty robot. In: Uhl, T. (eds) Advances in Mechanism and Machine Science. IFToMM WC 2019. Mechanisms and Machine Science, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-20131-9_191
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DOI: https://doi.org/10.1007/978-3-030-20131-9_191
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