Abstract
An electro-hydraulic control system for the thrust speed control in TBM was introduced and its dynamics model was established. An endocrine intelligent controller was then designed based on the endocrine hormone regulation principles for improving effects in thurst speed control. And on this basis the co-simulation of thrust hydraulic system was conducted in AMESim and MATLAB/Simulink software environments. Simulation results demonstrate that the proposed endocrine control has better control performance and adaptability compared with conventional PID control. The proposed endocrine strategy provides a possible new way for thrust hydraulic system of TBM, and also extend the applications for endocrine intelligent control.
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References
Acaroglu, O.: Prediction of thrust and torque requirements of TBMs with fuzzy logic models. Tunnelling and Underground Space Technology 26(2), 267–275 (2011)
Li, X.H., Yu, H.B., Yuan, M.Z., et al.: Dynamic Modeling and Analysis of Shield TBM Cutterhead Driving System. Transactions of the ASME: Journal of Dynamic Systems Measurement and Control 132(4), 1–14 (2010)
Yang, H.Y., Shi, H., Gong, G.F., et al.: Electro-hydraulic proportional control of thrust system for shield tunneling machine. Automation in Construction 18(7), 950–956 (2009)
Xu, Q., Wang, L.: Recent advances in the artificial endocrine system. Journal of Zhejiang University-Science C 12(3), 171–183 (2011)
Mendao, M.: A neuro-endocrine control architecture applied to mobile robotics, Canterbury, UK, University of Kent (2007)
Ding, Y., Xiao, L., Hao, K., et al.: An intelligent cooperative decoupling controller for coagulation bath in polyacrylonitrile carbon fiber production. IEEE Transactions on Control Systems Technology 21(2), 467–479 (2013)
Walker, J., Wilson, M.: A performance sensitive hormone-inspired system for task distribution amongst evolving robots. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France, pp. 1293–1298 (2008)
Liu, B., Ding, Y.: A two-level controller based on the modulation principle of testosterone release. Journal of Shanghai Jiaotong University 40(5), 822–824 (2006)
Tilbrook, A.J., Clarke, I.J.: Neuroendocrine mechanisms of innate states of attenuated responsiveness of the hypothalamo-pituitary adrenal axis to stress. Frontiers in Neuroendocrinology 27(3), 285–307 (2006)
Chen, D., Zou, F., Wang, J.: A multi-objective endocrine PSO algorithm and application. Applied Soft Computing 11(8), 4508–4520 (2011)
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Yao, J., Yimin, X., Yongliang, C., Huan, Z. (2013). Endocrine Intelligent Control of Thrust Hydraulic System for TBM. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40849-6_71
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DOI: https://doi.org/10.1007/978-3-642-40849-6_71
Publisher Name: Springer, Berlin, Heidelberg
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