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

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.

Inspec keywords: velocity control; closed loop systems; multidimensional systems; Lyapunov methods; observers; vibration control; stability; adaptive control; acceleration control; belts

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

Subjects: Mechanical components; Vibrations and shock waves (mechanical engineering); Self-adjusting control systems; Distributed parameter control systems; Simulation, modelling and identification; Velocity, acceleration and rotation control; Mechanical variables control; Control technology and theory (production); Stability in control theory

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2015.0753
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