On the Use of Robust Command Shaping for Vibration Reduction During Remote Handling of Large Components in Tokamak Devices

This paper proposes to use robust command shaping methods for reducing the vibrations during remote handling of invessel components. The need of deriving efficient vibration control strategies for a safe transportation of large and heavy payloads during maintenance procedures in nuclear fusion reactors is the main motivation behind this work. The approach shapes the reference motion command to the component such that the vibratory modes of the system are canceled. We perform the dynamic simulations of a large in-vessel component of the DEMOnstrating fusion power reactor during a remote handling operation. The simulations shows that the method is a possible solution to reduce the vibrations induced by the motion, in both the transient and residual phases. The benefits introduced by command shaping make the method promising towards building control framework for remote handling of in-vessel components in various tokamak devices.

[1]  Bruno Siciliano,et al.  A nonlinear finite element formalism for modelling flexible and soft manipulators , 2016, 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).

[2]  Bruno Siciliano,et al.  From Differential Geometry of Curves to Helical Kinematics of Continuum Robots Using Exponential Mapping , 2018, ARK.

[3]  Bruno Siciliano,et al.  Input predictive shaping for vibration control of flexible systems , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

[4]  Bruno Siciliano,et al.  Analytic solutions for the static equilibrium configurations of externally loaded cantilever soft robotic arms , 2018, 2018 IEEE International Conference on Soft Robotics (RoboSoft).

[5]  David Cooper,et al.  Concept for a vertical maintenance remote handling system for multi module blanket segments in DEMO , 2014 .

[6]  William Singhose,et al.  Effects of hoisting on the input shaping control of gantry cranes , 2000 .

[7]  William Singhose,et al.  Performance Measures For Input Shaping and Command Generation , 2006 .

[8]  Yu Zhao,et al.  Zero time delay input shaping for smooth settling of industrial robots , 2016, 2016 IEEE International Conference on Automation Science and Engineering (CASE).

[9]  J. Thomas,et al.  Pre-conceptual design assessment of DEMO remote maintenance , 2013, 1309.7194.

[10]  Keum-Shik Hong,et al.  Input shaping control of a nuclear power plant’s fuel transport system , 2014 .

[11]  William Singhose,et al.  Comparison of robust input shapers , 2008 .

[12]  Warren P. Seering,et al.  INPUT SHAPING FOR VIBRATION REDUCTION WITH SPECIFIED INSENSITIVITY TO MODELING ERRORS , 1996 .

[13]  Warren P. Seering,et al.  Preshaping Command Inputs to Reduce System Vibration , 1990 .

[14]  William Singhose,et al.  Command shaping for flexible systems: A review of the first 50 years , 2009 .

[15]  Warren P. Seering,et al.  Residual Vibration Reduction Using Vector Diagrams to Generate Shaped Inputs , 1994 .

[16]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .