Research

Learning control strategies for high-rate materials testing machines


Reference:

Schlotter, M. and Plummer, A. R., 2011. Learning control strategies for high-rate materials testing machines. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225 (8), pp. 1125-1135.

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    Official URL:

    http://dx.doi.org/10.1177/0959651811404871

    Abstract

    Hydraulic high strain rate materials testing machines are required to track a user-defined velocity profile during tensile or compression tests in the face of sudden large impact forces. Due to delays and limited bandwidth of the actuation system, causal feedback/feedforward controllers fail to compensate for these disturbances. This paper presents more suitable non-causal learning control strategies, which anticipate the impact and take corrective action in advance. Two control strategies are discussed. The first comprises an iterative algorithm, which calculates a command signal correction by passing the velocity error observed in the previous test through an inverse model linearized around the target velocity. In the second approach, a detailed nonlinear inverse model is used to obtain a command signal from demand motion and force data. It is concluded that the first method is superior if two or more iterations can be performed.

    Details

    Item Type Articles
    CreatorsSchlotter, M.and Plummer, A. R.
    DOI10.1177/0959651811404871
    DepartmentsFaculty of Engineering & Design > Mechanical Engineering
    Research CentresCentre for Power Transmission & Motion Control
    RefereedYes
    StatusPublished
    ID Code26847

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