4.6 Article

Adaptive boundary control of an axially moving belt system with high acceleration/deceleration

期刊

IET CONTROL THEORY AND APPLICATIONS
卷 10, 期 11, 页码 1299-1306

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2015.0753

关键词

adaptive control; vibration control; acceleration control; Lyapunov methods; stability; closed loop systems; belts; multidimensional systems; velocity control; observers; adaptive boundary control; axially moving belt system; high acceleration dynamics; high deceleration dynamics; vibration suppression; infinite-dimensional model; distributed disturbance; extended Hamilton principle; Lyapunov synthesis method; system parametric uncertainties; closed-loop system stability; uniform closed-loop signal boundedness; S-curve acceleration method; S-curve deceleration method; axial speed; disturbance observer; boundary disturbance

资金

  1. National Natural Science Foundation of China [61203060]
  2. Science and Technology Planning Project of Guangdong Province [2015B010101003, 2015B010919003, 2015B090901049, 2014A090906010, 2014A0 90906009]
  3. Fundamental Research Funds for the Central Universities of SCUT [2015ZZ026]

向作者/读者索取更多资源

In this study, an adaptive boundary control is presented for vibration suppression of an axially moving belt system. First, the infinite-dimensional model of the belt system including the dynamics of high acceleration/deceleration and distributed disturbance is derived by utilising the extended Hamilton's principle. Subsequently, by using Lyapunov's synthesis method and an adaptive technique, an adaptive boundary control is developed to suppress the belt's vibration and compensate for the system parametric uncertainties. With the proposed control, the stability of the closed-loop system and the uniform boundedness of all closed-loop signals are both ensured. Besides, the S-curve acceleration/deceleration method is adopted to plan the belt's axial speed and the disturbance observer is used to mitigate the effects of unknown boundary disturbance. Finally, the control performance of the closed-loop system is successfully demonstrated through simulations.

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